telematics crash prediction

Predicting future crash risk from telematics and driving-behaviour data — risk scoring from CAN-bus, GPS, accelerometer, and trip signals, predictive models and machine learning that forecast crash likelihood per driver or trip. Forward-looking prediction from sensor streams, distinct from retrospective crash-record analysis (crash_data) and from telematics used for insurance pricing or behaviour feedback (telematics_ubi_feedback).

1307 paper(s) · ranked by relevance to this topic

1. Behavior-based Predictive Safety Analytics – Pilot Study · 2019 · Engström, Johan et al. · archived
2. Decision-adjusted driver risk predictive models using kinematics information · 2021 · Mao, Huiying et al. · archived
3. A Crash Prediction Method Based on Artificial Intelligence Techniques and Driving Behavior Event Data ↗ · 2021 · Kim, Yunjong et al. · indexed
4. Predicting Future Driving Risk of Crash-Involved Drivers Based on a Systematic Machine Learning Framework ↗ · 2019 · Wang, Chen et al. · indexed
5. Traffic safety measures using multiple streams real time data : final report · 2017 · Jafari, Mohsen · archived
6. Behavior-Based Predictive Safety Analytics Phase II · 2023 · Miller, Andrew et al. · archived
7. Real-time driving risk assessment using deep learning with XGBoost ↗ · 2022 · Shi, Liang et al. · indexed
8. Data-driven Robust Scoring Approach for Driver Profiling Applications ↗ · 2018 · Abdelrahman, Abdalla et al. · indexed
9. A study of freeway crash risk prediction and interpretation based on risky driving behavior and traffic flow data ↗ · 2021 · Guo, Miao et al. · indexed
10. Estimating likelihood of future crashes for crash-prone drivers · 2015 · Das, Subasish · archived
11. Assessing Driving Risk Using Internet of Vehicles Data: An Analysis Based on Generalized Linear Models ↗ · 2020 · Sun, Shuai et al. · indexed
12. Understanding Crash Risk Using a Multi-Level Random Parameter Binary Logit Model: Application to Naturalistic Driving Study Data ↗ · 2022 · Hoover, Lauren et al. · indexed
13. Crash prediction based on traffic platoon characteristics using floating car trajectory data and the machine learning approach ↗ · 2019 · Wang, Junhua et al. · indexed
14. MobiDriveScore — A system for mobile sensor based driving analysis: A risk assessment model for improving one's driving ↗ · 2013 · Chakravarty, Tapas et al. · indexed
15. LSTM + Transformer Real-Time Crash Risk Evaluation Using Traffic Flow and Risky Driving Behavior Data ↗ · 2024 · Han, Lei et al. · indexed
16. Driving Risk Assessment Using Near-Miss Events Based on Panel Poisson Regression and Panel Negative Binomial Regression ↗ · 2021 · Sun, Shuai et al. · indexed
17. Individual driver risk assessment using naturalistic driving data ↗ · 2012 · Guo, Feng et al. · indexed
18. An integrated methodology for real-time driving risk status prediction using naturalistic driving data ↗ · 2021 · Shangguan, Qiangqiang et al. · indexed
19. Evaluating Risky Driving Behavior Using a Naturalistic Driving Dataset: A Hybrid Modelling Approach ↗ · 2026 · Theodoraki, Eleni Maria et al. · indexed
20. Risk Levels Classification of Near-Crashes in Naturalistic Driving Data ↗ · 2022 · Naji, Hasan A. H. et al. · indexed
21. A Framework for Building Comprehensive Driver Profiles ↗ · 2022 · Payyanadan, Rashmi P. et al. · indexed
22. Uncovering Probabilistic Crash Risk Among Coach Drivers Using a Bayesian Network Based on Violation and Crash Records ↗ · 2026 · Zhou, Yanru et al. · indexed
23. A Review of Data Analytic Applications in Road Traffic Safety. Part 1: Descriptive and Predictive Modeling ↗ · 2020 · Mehdizadeh, Amir et al. · indexed
24. Performance Evaluation of Driving Behavior Identification Models through CAN-BUS Data ↗ · 2020 · Azadani, Mozhgan Nasr et al. · indexed
25. A machine learning model to predict the severity of road traffic injury based on aberrant driving behaviors and driver characteristics ↗ · 2026 · Abdolrazaghi, Alireza et al. · indexed
26. Predicting Drivers' Crash Risk Based-on Previous Crash History · 2013 · Das, Subasish · archived
27. Predicting Traffic Hazardous Events Based on Naturalistic Driving Data ↗ · 2018 · Sun, Ping et al. · indexed
28. Advanced operations focused on connected vehicles/infrastructure (CVI-UTC). · 2015 · Smith, Brian L. et al. · archived
29. Driving safety assessment for ride-hailing drivers · 2020 · Mao, Huiying et al. · archived
30. Collision Risk Assessment Using Naturalistic Data from a Rent-A-Car Fleet ↗ · 2019 · Min, Dongsoon et al. · indexed
31. Forecasting Markers of Habitual Driving Behaviors Associated With Crash Risk ↗ · 2020 · Panagopoulos, George et al. · indexed
32. Application of a Rule-Based Approach in Real-Time Crash Risk Prediction Model Development Using Loop Detector Data ↗ · 2015 · Pirdavani, Ali et al. · indexed
33. A longitudinal car-following risk assessment model based on risk field theory for autonomous vehicles ↗ · 2020 · Wu, Bing et al. · indexed
34. Assessing Risk of Collision with Fleet Telematics for Usage-Based Insurance: Case Study from South Korean Car Rental Operations ↗ · 2025 · Gentile, Davide et al. · indexed
35. Dynamic Real-Time Prediction of Drivers’ Risk Perception Using Deep Learning and Driving Simulator Data ↗ · 2026 · Masud, Saumik Sakib Bin et al. · indexed
36. Driver Behavior Classification in Crash and Near-Crash Events Using 100-CAR Naturalistic Data Set ↗ · 2017 · Abdelrahman, Abdalla et al. · indexed
37. Identifying High-Risk Roadways for Infrastructure Investment Using Naturalistic Driving Data · 2015 · Wolshon, Brian et al. · archived
38. Potential Crash Involvement of Young Novice Drivers with Previous Crash and Citation Records ↗ · 2005 · Chandraratna, Susantha et al. · indexed
39. Behavior-based Predictive Safety Analytics - Pilot Study [supporting datasets] · 2018 · Engström, Johan et al. · archived
40. Do Elevated Gravitational-Force Events While Driving Predict Crashes and Near Crashes? ↗ · 2012 · Bruce G. Simons‐Morton et al. · indexed
41. Driver behaviour profiles for road safety analysis ↗ · 2015 · Ellison, Adrian et al. · indexed
42. Probabilistic field approach for motorway driving risk assessment ↗ · 2020 · Mullakkal-Babu, Freddy A. et al. · indexed
43. Driver Impairment Detection & Safety Enhancement Through Comprehensive Volatility Analysis [Slides] · 2021 · Khattak, Asad J. et al. · archived
44. Human-Centered In-Vehicle Sensing Systems for Identifying Driving Pattern from Cognitive Decline Through Quantitative Analysis ↗ · 2025 · Moshfeghi, Sonia et al. · indexed
45. Driver behavior indices from large-scale fleet telematics data as surrogate safety measures ↗ · 2023 · Alrassy, Patrick et al. · indexed
46. Driver behavior profiling: An investigation with different smartphone sensors and machine learning · 2017 · Ferreira, Jair et al. · archived
47. Expressway Crash Prediction based on Traffic Big Data ↗ · 2018 · Meng, Hailang et al. · indexed
48. Validation study of risky event classification using driving pattern factors ↗ · 2015 · Castignani, German et al. · indexed
49. Aggregate crash prediction model based on gravity model: Introducing crash risk distribution concept ↗ · 2025 · Dabbaghfeizi, Saman et al. · indexed
50. Integrating extreme value theory and the task-capability interface model to estimate crash risk with driver-specific heterogeneity in connected environment ↗ · 2026 · Parashar, Shubham et al. · indexed
51. A survey on driving behavior analysis in usage based insurance using big data · 2019 · Arumugam, Subramanian et al. · archived
52. Application of Stochastic Gradient Boosting Technique to Enhance Reliability of Real-Time Risk Assessment ↗ · 2013 · Ahmed, Mohamed M. et al. · indexed
53. Different Forecasting Model Comparison for Near Future Crash Prediction ↗ · 2023 · Cai, Bowen et al. · indexed
54. Crash involvement of drivers with multiple crashes ↗ · 2006 · Chandraratna, Susantha et al. · indexed
55. Distributed Adaptive Recommendation & Time-stamp based Estimation of Driver-Behaviour ↗ · 2022 · Satrawala, Anamika et al. · indexed
56. Identifying High Crash Risk Highway Segments Using Jerk-Cluster Analysis ↗ · 2019 · Mousavi, Seyedeh Maryam et al. · indexed
57. Techniques for Predicting High-Risk Drivers for Alcohol Countermeasures. Volume 1, Technical Report · 1979 · Lacey, John H. et al. · archived
58. Identifying Mature Driver Risk from Naturalistic Driving ↗ · 2025 · Nasr, Malak Saif El et al. · indexed
59. Using Machine Learning Models to Forecast Severity Level of Traffic Crashes by R Studio and ArcGIS · 2022 · Al-Mistarehi, Bara’ W. et al. · archived
60. Public health application of predictive modeling: an example from farm vehicle crashes · 2019 · Ranapurwala, Shabbar I. et al. · archived
61. A hybrid neural network for driving behavior risk prediction based on distracted driving behavior data ↗ · 2022 · Fu, Xin et al. · indexed
62. Event-Level Road Crash Severity Assessment Using Calibrated Risk Scoring ↗ · 2026 · Hossain, Md Shahadat · indexed
63. Truck Accident Prediction and Risk Factors Analysis in Jordan: A Machine Learning Approach · 2025 · Al-Tarawneh, Mu’ath · archived
64. Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub · 2022 · Di, Xuan et al. · archived
65. Evaluation of the predictability of real-time crash risk models ↗ · 2016 · Xu, Chengcheng et al. · indexed
66. A Cloud-Based Environment-Aware Driver Profiling Framework using Ensemble Supervised Learning ↗ · 2019 · Abdelrahman, Abdalla et al. · indexed
67. Risky Driver Identification Using Beta Regression Based on Naturalistic Driving Data ↗ · 2023 · Zhang, Shile et al. · indexed
68. Attention-Based Lane Change and Crash Risk Prediction Model in Highways ↗ · 2022 · Li, Zhen-Ni et al. · indexed
69. A Framework for Combining Lateral and Longitudinal Acceleration to Assess Driving Styles Using Unsupervised Approach · 2023 · Zhu, Yuanfang et al. · archived
70. Machine Learning to Predict the Freeway Traffic Accidents-Based Driving Simulation ↗ · 2019 · Al Mamlook, Rabia Emhamed et al. · indexed
71. Innovative modeling of naturalistic driving data: Inference and prediction ↗ · 2017 · Albert, Paul S. · indexed
72. Evolutionary-Optimized Multimodal Driver RiskAssessment Using DE-Enhanced Cross-AttentionFusion of EEG and Telematics · 2026 · Raga Madhuri, Ch et al. · archived
73. Development of a framework for risky driving scenario identification, individual risk assessment, and group risk differences estimation using naturalistic driving data from the i-DREAMS project ↗ · 2025 · Song, Yanchao et al. · indexed
74. Identifying risky driving behavior: a field study using instrumented vehicles ↗ · 2023 · Charly, Anna et al. · indexed
75. Investigating Relationship Between Driving Patterns and Traffic Safety Using Smartphones Based Mobile Sensor Data · 2016 · Sahin, Olcay et al. · archived
76. Driver Behaviour Profiling Using Dynamic Bayesian Network · 2018 · Obuhuma, James et al. · archived
77. Driving pattern fusion using dempster-shafer theory for fuzzy driving risk level assessment ↗ · 2017 · Gunduz, Gultekin et al. · indexed
78. Evaluating the influence of crashes on driving risk using recurrent event models and Naturalistic Driving Study data · 2016 · Chen, Chen et al. · archived
79. Driving pattern recognition using mobile telematics ↗ · 2022 · Priya, S. et al. · indexed
80. Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction · 2024 · Fasanmade, Adebamigbe et al. · archived
81. Predicting Truck Crash Involvement: Developing a Commercial Driver Behavior-Based Model and Recommended Countermeasures ↗ · 2005 · Murray, Daniel et al. · indexed
82. A Multi-dimensional Attention-based Framework for Personalized Driver Fatigue Assessment for Proactive Commercial-vehicle Crash Prevention ↗ · 2026 · Yang, Jiayu et al. · indexed
83. Driver-Behavior Modeling Using On-Road Driving Data: A new application for behavior signal processing ↗ · 2016 · Miyajima, Chiyomi et al. · indexed
84. An Improved Deep Learning Model for Traffic Crash Prediction ↗ · 2018 · Dong, Chunjiao et al. · indexed
85. A preliminary investigation of the relationships between historical crash and naturalistic driving ↗ · 2017 · Pande, Anurag et al. · indexed
86. Crash prediction for freeway work zones in real time: A comparison between Convolutional Neural Network and Binary Logistic Regression model ↗ · 2021 · Wang, Junhua et al. · indexed
87. Driving speed model development using driving data obtained from smartphone sensors ↗ · 2020 · Tselentis, Dimitrios I. et al. · indexed
88. Assessing Safety on Dutch Freeways with Data from Infrastructure-Based Intelligent Transportation Systems ↗ · 2008 · Abdel-Aty, Mohamed et al. · indexed
89. Prediction of Crash Risk based on Driving Behaviour ↗ · 2022 · Manjunath, Abhijna · indexed
90. A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data ↗ · 2019 · Zhang, Jun et al. · indexed
91. Predicting Changes in Driving Safety Performance on an Individualized Level Under Naturalistic Driving Conditions · 2019 · Cavuoto, Lora et al. · archived
92. Prediction of Point in Time with High Crash Risk by Integration of Bayesian Estimation of Drowsiness, Tracking Error, and Subjective Drowsiness ↗ · 2018 · Atsuo Murata et al. · indexed
93. Big Data Visualization and Spatiotemporal Modeling of Risky Driving · 2020 · Jahangiri, Arash et al. · archived
94. INTELLIGENT MANAGING THE DRIVING STYLE OF THE ADR DRIVER IN REAL TIME ↗ · 2026 · Stefanovic, M. et al. · indexed
95. A Two-Layer Risky Driver Recognition Model With Context Awareness ↗ · 2021 · Wang, Ke et al. · indexed
96. A method for predicting the risk of virtual crashes in a simulated driving task using behavioural and subjective drowsiness measures ↗ · 2016 · Murata, Atsuo et al. · indexed
97. Data Fusion for Driver Behaviour Analysis ↗ · 2015 · Carmona, Juan et al. · indexed
98. Predicting Crash Injury Severity with Machine Learning Algorithm Synergized with Clustering Technique: A Promising Protocol ↗ · 2020 · Assi, Khaled et al. · indexed
99. Predicting Freeway Crashes from Loop Detector Data by Matched Case-Control Logistic Regression ↗ · 2004 · Abdel-Aty, Mohamed et al. · indexed
100. Empirical Methods in Support of Crash Avoidance Model Building and Benefits Estimation ↗ · 1999 · DINGUS, THOMAS A. et al. · indexed
101. Driver Modeling Based on Vehicular Sensing Data ↗ · 2018 · Wang, Zhuowen et al. · indexed
102. Driver Behavior Profiling Using Smartphones: A Low-Cost Platform for Driver Monitoring ↗ · 2015 · Castignani, German et al. · indexed
103. A Freeway Safety Strategy for Advanced Proactive Traffic Management ↗ · 2005 · Pande, Anurag et al. · indexed
104. Comparisons of Machine Learning Algorithms for Driving Behavior Recognition Using In-Vehicle CAN Bus Data ↗ · 2019 · Chen, Wenhui et al. · indexed
105. SafeDrive: A New Model for Driving Risk Analysis Based on Crash Avoidance ↗ · 2022 · Wang, Yibo et al. · indexed
106. Driving risk assessment using near-crash database through data mining of tree-based model ↗ · 2015 · Wang, Jianqiang et al. · indexed
107. Driver behavior study for better speed prediction: unique use of speed sensor and machine learning ↗ · 2023 · Jaafar, Mohamed et al. · indexed
108. Semiparametric Bayesian models for evaluating time‐variant driving risk factors using naturalistic driving data and case‐crossover approach ↗ · 2017 · Guo, Feng et al. · indexed
109. Two-dimensional ETTC-labeled longitudinal and lateral conflicts for interpretable real-time crash risk prediction in freeway interchange diverging areas. · 2026 · Tang, F et al. · archived
110. Identification of Driving Safety Profiles in Vehicle to Vehicle Communication System Based on Vehicle OBD Information ↗ · 2021 · Ameen, Hussein Ali et al. · indexed
111. Evaluating Machine Learning Algorithms for Predicting Nigerian Bus Driver Accident Involvement: A Comparative Study ↗ · 2026 · Olusegun, Olusegun · indexed
112. Road Rage and Aggressive Driving Behaviour Detection in Usage-Based Insurance Using Machine Learning ↗ · 2023 · Arumugam, Subramanian et al. · indexed
113. MRI-Copula: A Hybrid Copula–Machine Learning Framework for Multivariate Risk Indexing in Urban Traffic Safety ↗ · 2025 · Alanazi, Fayez et al. · indexed
114. Crash probability estimation via quantifying driver hazard perception ↗ · 2018 · Li, Yang et al. · indexed
115. Multiple-Model Framework for Assessment of Real-Time Crash Risk ↗ · 2007 · Pande, Anurag et al. · indexed
116. Driving Behaviour Style Study with a Hybrid Deep Learning Framework Based on GPS Data ↗ · 2018 · Guo, Jingqiu et al. · indexed
117. Smartphone-Based Adaptive Driving Maneuver Detection: A Large-Scale Evaluation Study ↗ · 2017 · Castignani, German et al. · indexed
118. Driving Behavior Based Relative Risk Evaluation Using a Nonparametric Optimization Method ↗ · 2021 · Bao, Qiong et al. · indexed
119. Mining driving safety pattern using semi-supervised learning on time series data ↗ · 2009 · Gong, Yihong · indexed
120. Driving behavior recognition and scoring: A Bayesian approach to driving simulator data analytics ↗ · 2026 · Pourghasemi, Mohammad et al. · indexed
121. IMPROVING ROAD SAFETY: SUPERVISED MACHINE LEARNING ANALYSIS OF FACTORS INFLUENCING CRASH SEVERITY · 2025 · Khanh Giang, LE · archived
122. Driving behavior analytics: an intelligent system based on machine learning and data mining techniques ↗ · 2025 · Arabiat, Areen et al. · indexed
123. An extreme gradient boosting method for identifying the factors contributing to crash/near-crash events: a naturalistic driving study ↗ · 2019 · Mousa, Saleh R. et al. · indexed
124. Predicting cruising speed through data-driven driver modeling ↗ · 2012 · McNew, John-Michael · indexed
125. Modeling of Freeway Real-Time Traffic Crash Risk Based on Dynamic Traffic Flow Considering Temporal Effect Difference ↗ · 2023 · Yang, Yang et al. · indexed
126. A conflict-based approach for real-time road safety analysis: Comparative evaluation with crash-based models · 2021 · Orsini, Federico et al. · archived
127. Analysis of driving characteristics and crash detection ↗ · 2018 · Erat, Murat et al. · indexed
128. Driver-Personalized Risk Assessment in Car-Following: Validation of an Optical-Flow-Based Model using SHRP 2 Naturalistic Driving ↗ · 2026 · Kondoh, Takayuki et al. · indexed
129. Crash severity analysis and risk factors identification based on an alternate data source: a case study of developing country ↗ · 2022 · Bhuiyan, Hanif et al. · indexed
130. Driver Impairment Detection and Safety Enhancement Through Comprehensive Volatility Analysis · 2020 · Khattak, Asad J. et al. · archived
131. A survey on motion prediction and risk assessment for intelligent vehicles · 2014 · Lefèvre, Stéphanie et al. · archived
132. Convergent validity of vision based technology (VBT) among professional bus drivers ↗ · 2022 · Shichrur, Rachel et al. · indexed
133. ATVSA: Vehicle Driver Profiling for Situational Awareness ↗ · 2022 · Khan, Rashid et al. · indexed
134. Driver classification and driving style recognition using inertial sensors ↗ · 2013 · Van Ly, Minh et al. · indexed
135. A risk‐based driver behaviour model ↗ · 2023 · Yuan, Yuxia et al. · indexed
136. A proactive crash risk prediction framework for lane-changing behavior incorporating individual driving styles ↗ · 2023 · Zhang, Yunchao et al. · indexed
137. A Two-Stage Deep Contrastive and Ensemble Framework for Early Cognitive Impairment Recognition Using Vehicle Telematics ↗ · 2025 · Moshfeghi, Sonia et al. · indexed
138. Personalized Trajectory-based Risk Prediction on Curved Roads with Consideration of Driver Turning Behavior and Workload ↗ · 2024 · Liu, Yahui et al. · indexed
139. Technology and Enhancements to Improve Pre-Crash Safety · 2018 · Ozguner, Umit et al. · archived
140. Associations between drivers’ safety records and driving styles ↗ · 2013 · Merrikhpour, Maryam et al. · indexed
141. Automatic Safety Diagnosis in a Connected Vehicle Environment · 2022 · Whalin, Robert W et al. · archived
142. A systematic review of the use of in-vehicle telematics in monitoring driving behaviours ↗ · 2024 · Boylan, James et al. · indexed
143. Analyzing Crash-Prone Drivers in Multiple Crashes for Better Safety Educational and Enforcement Strategies · 2014 · Das, Subasish · archived
144. Out‐of‐the‐loop crash prediction: the automation expectation mismatch (AEM) algorithm ↗ · 2019 · Tivesten, Emma et al. · indexed
145. A data–information–knowledge cycle for modeling driving behavior · 2022 · Al Haddad, Christelle et al. · archived
146. A manoeuvre indicator and ensemble learning-based risky driver recognition approach for highway merging areas ↗ · 2024 · Liu, Xingliang et al. · indexed
147. Holistically Identifying Road Complexity and Relating It to Fatal Crashes · 2025 · Wang, Meng et al. · archived
148. Driving Performances Assessment Based on Speed Variation Using Dedicated Route Truck GPS Data ↗ · 2019 · Li, Ying et al. · indexed
149. Road Crash Prediction Models: Different Statistical Modeling Approaches ↗ · 2017 · Abdulhafedh, Azad · indexed
150. Efficient Fusion Decision System for Predicting Road Crash Events: A Comparative Simulator Study for Imbalance Class Handling ↗ · 2023 · Elamrani Abou Elassad, Zouhair et al. · indexed
151. Towards a real-time driver identification mechanism based on driving sensing data ↗ · 2017 · Jafarnejad, Sasan et al. · indexed
152. Classification and Evaluation of Driving Behavior Safety Levels: A Driving Simulation Study · 2022 · Yang, Kui et al. · archived
153. Longitudinal Risky Driving Behavior Recognition Based on Naturalistic Driving Study ↗ · 2018 · Sun, Zhengwei et al. · indexed
154. Development of a prediction model for crash occurrence by analyzing traffic crash and citation data : final report. · 2017 · Gonzalez-Velez, Enrique et al. · archived
155. Unveiling pre-crash driving behavior common features based upon behavior entropy ↗ · 2024 · Xie, Ning et al. · indexed
156. Driver Behavior Monitoring Based on Smartphone Sensor Data and Machine Learning Methods ↗ · 2019 · Lindow, Friedrich et al. · indexed
157. A Driver Rating System Based on Driving Pattern ↗ · 2024 · Sreekumar, Sreelakshmi et al. · indexed
158. An international review of challenges and opportunities in development and use of crash prediction models · 2018 · Ambros, Jiří et al. · archived
159. Learning-based methods for spatial road safety analysis using in-vehicle telematics data: A systematic review ↗ · 2026 · Paradiso, Simone et al. · indexed
160. Evaluating the Driving Risk of Near-Crash Events Using a Mixed-Ordered Logit Model ↗ · 2018 · Naji, Hasan. et al. · indexed
161. Crash Generation Models: Forecasting Crashes in Urban Areas ↗ · 2010 · Naderan, Ali et al. · indexed
162. Driving risk assessment using cluster analysis based on naturalistic driving data ↗ · 2014 · Yang Zheng et al. · indexed
163. Driver behavior profiling using smartphones ↗ · 2013 · Castignani, German et al. · indexed
164. Driver Identification Using Vehicular Sensing Data: A Deep Learning Approach ↗ · 2021 · Azadani, Mozhgan Nasr et al. · indexed
165. Driving risk emerges from the required two-dimensional joint evasive acceleration · 2026 · Cheng, Hao et al. · archived
166. Methods and Tools for Monitoring Driver's Behavior · 2022 · Jan, Muhammad Tanveer et al. · archived
167. Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters · 2022 · Chen, Chen et al. · archived
168. Road traffic accident prediction: a driving behavior approach ↗ · 2022 · Lazar, Hajar et al. · indexed
169. Using naturalistic driving data to explore the association between traffic safety-related events and crash risk at driver level ↗ · 2014 · Wu, Kun-Feng et al. · indexed
170. Abnormal Driving Detection Using GPS Data · 2023 · Boateng, Charles et al. · archived
171. Machine Learning Framework for Real-Time Assessment of Traffic Safety Utilizing Connected Vehicle Data ↗ · 2022 · Mussah, Abdul Rashid et al. · indexed
172. A comprehensive joint econometric model of motor vehicle crashes arising from multiple sources of risk · 2018 · Afghari, Amir Pooyan et al. · archived
173. The Safety Performance of Passenger Carrier Drivers · 2012 · NHTSA · archived
174. Assessing Driving Risk Level: Harnessing Deep Learning Hybrid Model With Intercity Bus Naturalistic Driving Data ↗ · 2025 · Lee, Wei-Hsun et al. · indexed
175. Enhancing road safety: In-vehicle sensor analysis of cognitive impairment in older drivers · 2024 · Jan, Muhammad Tanveer et al. · archived
176. Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data ↗ · 2019 · Chen, Jie et al. · indexed
177. AI-based framework for automatically extracting high-low features from NDS data to understand driver behavior ↗ · 2023 · Aboah, Armstrong · indexed
178. Long-Term Driving Behaviour Modelling for Driver Identification ↗ · 2018 · Marchegiani, Letizia et al. · indexed
179. Exploring the Role of Driver Emotions and Physiology in Driving Risk Inference: A Multimodal Explainable AI Approach Using Instrumented Vehicle Data ↗ · 2026 · Vullapu, Sai Sesidhar et al. · indexed
180. Predicting hazardous events in work zones using naturalistic driving data ↗ · 2017 · Chang, Yohan et al. · indexed
181. Identifying Deviations from Normal Driving Behavior · 2022 · Hananeh Alambeigi, H et al. · archived
182. Driving Behaviour as a Predictor of Crash Probability and Severity: Insights from a Modified DBQ for Indian Car Drivers ↗ · 2026 · Pandey, Ashutosh et al. · indexed
183. Use of crash surrogates and exceedance statistics to estimate road safety ↗ · 2011 · Tarko, Andrew P. · indexed
184. Multi-Level Driver Workload Prediction using Machine Learning and Off-the-Shelf Sensors ↗ · 2018 · van Gent, Paul et al. · indexed
185. Novel Vehicle Motion Model considering Driver Behavior for Trajectory Prediction and Driving Risk Detection ↗ · 2014 · Peng, Liqun et al. · indexed
186. Enhancing Crash Severity Prediction Using Explainable Ensemble Machine Learning and Deep Learning Approaches: A Case Study of Qassim ↗ · 2026 · Alfallaj, Sulaiman et al. · indexed
187. Crash Prediction Models for Older Drivers: A Panel Data Analysis Approach · 1996 · Hu, Patricia et al. · archived
188. Intelligent Automation of Driver Behavior Analysis Using Machine Learning: CAN Bus Signals ↗ · 2025 · Qibtiah, Raja Mariatul et al. · indexed
189. Identifying and Labeling Potentially Risky Driving: A Multistage Process Using Real-World Driving Data ↗ · 2021 · Marks, Charles et al. · indexed
190. RiskNet: interaction-aware risk forecasting for autonomous driving in long-tail scenarios · 2025 · Liu, Qichao et al. · archived
191. FEEDBACK trial - A randomised control trial to investigate the effect of personalised feedback and financial incentives on reducing the incidence of road crashes · 2023 · Stevenson, Mark et al. · archived
192. RsSafe: Personalized Driver Behavior Prediction for Safe Driving ↗ · 2022 · Bhumika et al. · indexed
193. A Comparative Study of Classification Models for Predicting Monotonous Driver Drowsiness ↗ · 2021 · Chitra, K. et al. · indexed
194. Predicting Drivers’ Speeding Behaviour: A Case-based Reasoning Approach ↗ · 2023 · Zhong, Qiaoting et al. · indexed
195. Predicting Road Crash Severity Using Classifier Models and Crash Hotspots ↗ · 2022 · Islam, Md. Kamrul et al. · indexed
196. Convolutional Neural Network Learning Approaches for Driver Injury Severity Classification and Application in Single-Vehicle Crashes in RITI Communities · 2024 · Zhang, Guohui et al. · archived
197. Predicting collision cases at unsignalized intersections using EEG metrics and driving simulator platform ↗ · 2023 · Zhang, Xinran et al. · indexed
198. Intelligent Driving Assistant Based on Road Accident Risk Map Analysis and Vehicle Telemetry ↗ · 2020 · Terán, José et al. · indexed
199. A Cohort-Based Data Structure Design for Analyzing Crash Risk Using Naturalistic Driving Data ↗ · 2013 · Jovanis, Paul P et al. · indexed
200. In-Vehicle Data for Predicting Road Conditions and Driving Style Using Machine Learning ↗ · 2022 · Al-refai, Ghaith et al. · indexed
201. Crash Risk Estimation Due to Lane Changing: A Data-Driven Approach Using Naturalistic Data ↗ · 2020 · Mahajan, Vishal et al. · indexed
202. Active vehicle safety system design based on driver characteristics and behaviour ↗ · 2009 · Boyraz, Pinar et al. · indexed
203. An Intelligent Evaluation System for Predicting Engine Driver Reliability ↗ · 2020 · Sidorenko, V. G. et al. · indexed
204. A Software Agent for Vehicle Driver Modeling ↗ · 2019 · Obuhuma, James Imende et al. · indexed
205. Driving Risk Classification Methodology for Intelligent Drive in Real Traffic Event ↗ · 2018 · Sun, Chuan et al. · indexed
206. Investigating the Feasibility of Vehicle Telemetry Data as a Means of Predicting Driver Workload · 2017 · Taylor, Phillip et al. · archived
207. Comparative Analysis of Parametric and Non-Parametric Data-Driven Models to Predict Road Crash Severity among Elderly Drivers Using Synthetic Resampling Techniques · 2023 · Alrumaidhi, Mubarak et al. · archived
208. Driver Identification Based on Stop-and-Go Events Using Naturalistic Driving Data ↗ · 2018 · Gao, Zhen et al. · indexed
209. Driver Models for Both Human and Autonomous Vehicles · 2018 · Kurt, Arda et al. · archived
210. Human-Centered Multi-Sensor Framework for Identifying Driving Patterns Associated with Cognitive Decline Through Quantitative Analysis · 2026 · Moshfeghi, Sonia et al. · archived
211. Modelling the relationship of driver license and offense history with fatal and serious injury (FSI) crash involvement ↗ · 2021 · Meyer, Denny et al. · indexed
212. Predicting traffic congestion using driver behavior ↗ · 2017 · Ito, Toshio et al. · indexed
213. Development of a statistical method for predicting human driver decisions. · 2015 · Tan, Yaoyan Vincent et al. · archived
214. Evaluating the Driving Safety of Heavy Trucks of Third-Party Logistics Companies in the Absence of Crash Information ↗ · 2023 · Zhang, Changjian et al. · indexed
215. Driver Celeration Behavior and the Prediction of Traffic Accidents ↗ · 2006 · Wåhlberg, Anders E. af · indexed
216. Vehicular Data Space: The Data Point of View · 2019 · Rettore, Paulo H. L. et al. · archived
217. Risk-Aware Planning: Methods and Case Study on Safe Driving Route ↗ · 2017 · Krumm, John et al. · indexed
218. Driver Behavior Classification: A Systematic Literature Review · 2023 · Bouhsissin, Soukaina et al. · archived
219. Driver drowsiness monitoring by learning vehicle telemetry data ↗ · 2017 · Vasudevan, Kashyap et al. · indexed
220. A hybrid statistical-machine learning methodology for addressing endogeneity and temporal instability in speeding-crash frequency relationships ↗ · 2026 · Asadi Ghalehni, Sajad et al. · indexed
221. Improve Aggressive Driver Recognition Using Collision Surrogate Measurement and Imbalanced Class Boosting ↗ · 2020 · Wang, Ke et al. · indexed
222. Support vector machine in crash prediction at the level of traffic analysis zones: Assessing the spatial proximity effects ↗ · 2015 · Dong, Ni et al. · indexed
223. Evaluation of association between observed driving speeds and the occurrence of crashes using naturalistic driving study data ↗ · 2026 · Ivan, John N. et al. · indexed
224. Driving Behaviour Analysis Using Machine and Deep Learning Methods for Continuous Streams of Vehicular Data ↗ · 2021 · Peppes, Nikolaos et al. · indexed
225. Situation understanding and risk assessment framework for preventive driver assistance ↗ · 2026 · Armand, Alexandre · indexed
226. Driver route and destination prediction ↗ · 2017 · Panahandeh, Ghazaleh · indexed
227. Driver Profiling Using Long Short Term Memory (LSTM) and Convolutional Neural Network (CNN) Methods ↗ · 2021 · Cura, Aslihan et al. · indexed
228. Driver Route Planning Method Based on Accident Risk Cost Prediction ↗ · 2022 · Liao, Xiaoleng et al. · indexed
229. Proactive Detection of Crash Hotspots Using In-Vehicle Driving Recorder ↗ · 2016 · Lee, Jooyoung et al. · indexed
230. New Measure of Inattentiveness to Forward Roadway ↗ · 2012 · Pollatsek, Alexander et al. · indexed
231. A crash-injury-aware driving safety field for real-time risk assessment and its application in autonomous vehicle motion planning ↗ · 2025 · Guo, Wenfeng et al. · indexed
232. Smartphone-Based Vehicle Telematics: A Ten-Year Anniversary · 2017 · Wahlström, Johan et al. · archived
233. Computation of driver safety rating using in-vehicle data recorder: Case study of bangkok public transportation ↗ · 2012 · Saiprasert, Chalermpol et al. · indexed
234. Driver Danger-Level Monitoring System Using Multi-Sourced Big Driving Data ↗ · 2020 · Yin, Jia-Li et al. · indexed
235. Using mobile devices for driving test assessment: a study of acceleration and GPS data ↗ · 2024 · Driessen, Tom et al. · indexed
236. Conflict-Based Real-Time Road Safety Analysis: Sensitivity to Data Collection Duration and its Implications for Model Resilience ↗ · 2023 · Orsini, Federico et al. · indexed
237. Exploring the heterogeneous relationship between abnormal driving events and freeways crash risk: A two stage analysis framework integrating causal inference and random parameters logit ↗ · 2026 · Zhou, Mo et al. · indexed
238. Simulation of safety: A review of the state of the art in road safety simulation modelling ↗ · 2014 · Young, William et al. · indexed
239. Integrated driving risk surrogate model and car-following behavior for freeway risk assessment ↗ · 2024 · Wu, Renfei et al. · indexed
240. Modeling Crashes Severity Using Ensemble Techniques · 2023 · ALHADIDI, Taqwa et al. · archived
241. Predicting driver destination using machine learning techniques ↗ · 2013 · Manasseh, Christian et al. · indexed
242. Crash Severity Prediction as Multi-Objective Decision Optimisation: A Cost-Sensitive Pareto-Efficient Ensemble for Less-Regulated Driving Environments ↗ · 2026 · Dangut, Maren Davi · indexed
243. Predicting Damage Incidents, Fines, and Fuel Consumption from Truck Driver Data: A Study from the Netherlands ↗ · 2023 · Driessen, Tom et al. · indexed
244. The Driving Behavior Data Acquisition and Identification Based on Vehicle Bus ↗ · 2016 · Hu, Jie et al. · indexed
245. Spatial Deep Learning Approach to Older Driver Classification ↗ · 2024 · Boateng, Charles et al. · indexed
246. Predicting Freeway Traffic Crash Severity Using XGBoost-Bayesian Network Model with Consideration of Features Interaction ↗ · 2022 · Yang, Yang et al. · indexed
247. Interpretable and robust tree-based methodology for imbalanced classification in driving safety assessment ↗ · 2026 · Vannucci, Giulia et al. · indexed
248. Sensitivity of a real-time freeway crash prediction model to calibration optimality · 2012 · Samimi, Amir et al. · archived
249. In-vehicle Sensing and Data Analysis for Older Drivers with Mild Cognitive Impairment · 2023 · Moshfeghi, Sonia et al. · archived
250. Driving behavior differences between crash-involved and crash-not-involved drivers using urban traffic surveillance data ↗ · 2016 · Hongxin, Chen et al. · indexed
251. Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving ↗ · 2019 · Puphal, Tim et al. · indexed
252. A Novel Algorithm for Crash Detection Under General Road Scenes Using Crash Probabilities and an Interactive Multiple Model Particle Filter ↗ · 2014 · Kim, Taewung et al. · indexed
253. Driving maneuver prediction using car sensor and driver physiological signals ↗ · 2016 · Li, Nanxiang et al. · indexed
254. Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety · 2011 · Laugier, Christian et al. · archived
255. Application of machine learning models and SHAP to examine crashes involving young drivers in New Jersey ↗ · 2023 · Das, Subasish · indexed
256. Comparing Prediction Performance for Crash Injury Severity Among Various Machine Learning and Statistical Methods ↗ · 2018 · Zhang, Jian et al. · indexed
257. Developing Artificial Intelligence Driven Safe Navigation Tool · 2023 · Das, Subasish et al. · archived
258. Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis ↗ · 2020 · Wang, Jianqiang et al. · indexed
259. Real-time conflict prediction: a comparative study of machine learning classifiers ↗ · 2021 · Orsini, Federico et al. · indexed
260. Driving into diagnosis: Leveraging high-resolution telematics and sensorimotor profiling to identify preclinical Alzheimer's disease ↗ · 2025 · Parhizi, Behdad et al. · indexed
261. Enhancing Integral Vehicle Safety: Weighted Crash Probability Prediction Using Naturalistic Driving Data ↗ · 2025 · Pogorzelski, Adrian et al. · indexed
262. Machine learning approaches exploring the optimal number of driver profiles based on naturalistic driving data ↗ · 2023 · Tselentis, Dimitrios I. et al. · indexed
263. Factor Identification and Prediction for Teen Driver Crash Severity Using Machine Learning: A Case Study ↗ · 2020 · Lin, Ciyun et al. · indexed
264. Driver Behavior Profiling Through Jerk Dynamics and Statistical IMU Descriptors ↗ · 2026 · Damian, Danut Dragos et al. · indexed
265. Technology from Highly Automated Driving to Improve Active Pedestrian Protection Systems ↗ · 2017 · Schratter, Markus et al. · indexed
266. Modeling and Prediction of Human Driver Behavior: A Survey. · 2020 · Brown, Kyle et al. · archived
267. SafeDrive: Online Driving Anomaly Detection From Large-Scale Vehicle Data ↗ · 2017 · Zhang, Mingming et al. · indexed
268. A novel Road User Safety Field Theory for traffic safety assessment applying video analytics · 2022 · Arun, Ashutosh · archived
269. Safe Driving Using Mobile Phones · 2012 · Fazeen, Mohamed et al. · archived
270. Simulator Pre-Screening of Underprepared Drivers Prior to Licensing On-Road Examination: Clustering of Virtual Driving Test Time Series Data (Preprint) ↗ · 2019 · Grethlein, David et al. · indexed
271. Driving Anomaly Detection with Conditional Generative Adversarial Network using Physiological and CAN-Bus Data ↗ · 2019 · Qiu, Yuning et al. · indexed
272. A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns ↗ · 2022 · Shangguan, Qiangqiang et al. · indexed
273. SafeTrip 21 initiative : networked traveler foresighted driving field experiment, final report. · 2011 · Nowakowski, Christopher et al. · archived
274. An assessment of machine learning and data balancing techniques for evaluating downgrade truck crash severity prediction in Wyoming · 2022 · Ampadu, Vincent Michael et al. · archived
275. Real-time Crash Detection and Its Application in Incident Reporting and Accident Reconstruction ↗ · 2017 · Panigrahi, Smruti et al. · indexed
276. Towards Driver Behavior Understanding: Weakly-Supervised Risk Perception in Driving Scenes · 2026 · Agarwal, Nakul et al. · archived
277. Harnessing ambient sensing & naturalistic driving systems to understand links between driving volatility and crash propensity in school zones – A generalized hierarchical mixed logit framework · 2020 · Wali, Behram et al. · archived
278. Improved Driving Behaviors Prediction Based on Fuzzy Logic-Hidden Markov Model (FL-HMM) · 2018 · Deng, Qi et al. · archived
279. Using a driving simulator to identify older drivers at inflated risk of motor vehicle crashes ↗ · 2003 · Lee, Hoe et al. · indexed
280. Comparisons of Predictive Power for Traffic Accident Involvement; Celeration Behaviour versus Age, Sex, Ethnic Origin, and Experience ↗ · 2018 · Wåhlberg, Anders Af · indexed
281. Learning to Predict Risky Driving Behaviors for Autonomous Driving ↗ · 2020 · Hsu, Chih-Chung et al. · indexed
282. A Multi-Objective Machine Learning Approach for Crash Severity Prediction under Class Imbalance in Less-Regulated Driving Environments ↗ · 2026 · Dangut, Maren Davi · indexed
283. Detection of critical safety events on freeways in clear and rainy weather using SHRP2 naturalistic driving data: Parametric and non-parametric techniques ↗ · 2019 · Ali, Elhashemi M. et al. · indexed
284. Bayesian nonparametric modeling of driver behavior ↗ · 2014 · Straub, Julian et al. · indexed
285. Development of collision avoidance for light vehicles : near-crash/crash event data recorders · 2006 · da Silva, Marco P. et al. · archived
286. Evaluation of Older Driver Fitness-to-Drive Metrics and Driving Risk Using Naturalistic Driving Study Data · 2014 · Guo, Feng et al. · archived
287. Assessing the impact of car-following driving style on traffic conflict risk using asymmetric behavior model and explainable machine learning ↗ · 2024 · Ma, Xiao-chi et al. · indexed
288. Ordinal Latent Variable Models and Their Application in the Study of Newly Licensed Teenage Drivers ↗ · 2012 · Jackson, John C. et al. · indexed
289. Risky Driver Recognition with Class Imbalance Data and Automated Machine Learning Framework ↗ · 2021 · Wang, Ke et al. · indexed
290. Real-time Determination of Driver's Driving Behavior during Car Following ↗ · 2015 · Lu, Jianbo et al. · indexed
291. Traffic Safety Risks Trends and Patterns Analysis on Motorways ↗ · 2014 · Hamzehei, Asso et al. · indexed
292. Assessing the Effectiveness of the Wyoming Connected Vehicle Pilot Program: New Traffic Safety Research Perspectives · 2022 · Ahmed, Mohamed M. et al. · archived
293. Investigation of Route-Independent Aggressive and Safe Driving Features Obtained from Accelerometer Signals ↗ · 2017 · Zylius, Gediminas · indexed
294. The Carrier Safety Measurement System (CSMS) Effectiveness Test by Behavior Analysis and Safety Improvement Categories (BASICs) · 2014 · NHTSA · archived
295. Application of naturalistic driving data: A systematic review and bibliometric analysis · 2023 · Alam, Md Rakibul et al. · archived
296. Individual Driver’s Undesirable Driving Events—A Temporal Analysis ↗ · 2011 · Musicant, Oren et al. · indexed
297. 5. Probabilistic driver modeling ↗ · 2017 · Driggs-Campbell, Katherine et al. · indexed
298. Simulation of driver, vehicle and environmental aspects of crash initiation, a new method to improve integrated safety effectiveness ↗ · 2003 · Wood, R.L. et al. · indexed
299. Estimating Driver Personality Traits From On-Road Driving Data · 2023 · Kimura, Ryusei et al. · archived
300. Enhancing driving safety: Discovering individualized hazardous driving scenes using GIS and mobile sensing ↗ · 2019 · Li, Xiao et al. · indexed
301. Driver Behavior Modeling: Developments and Future Directions ↗ · 2016 · AbuAli, Najah et al. · indexed
302. A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior · 2025 · Bhattacharyya, Raunak et al. · archived
303. Modeling and Detecting Aggressiveness From Driving Signals ↗ · 2014 · Gonzalez, Ana Belen Rodriguez et al. · indexed
304. Advanced Driving Behavior Analytics for an Improved Safety Assessment and Driver Fingerprinting ↗ · 2019 · Bouhoute, Afaf et al. · indexed
305. Investigating the Significant Individual Historical Factors of Driving Risk Using Hierarchical Clustering Analysis and Quasi-Poisson Regression Model ↗ · 2020 · Naji, Hasan A.H. et al. · indexed
306. Driver Injury Prediction and Factor Analysis in Passenger Vehicle-to-Passenger Vehicle Collision Accidents Using Explainable Machine Learning ↗ · 2025 · Liu, Peng et al. · indexed
307. Analysis of harsh braking and harsh acceleration occurrence via explainable imbalanced machine learning using high-resolution smartphone telematics and traffic data ↗ · 2024 · Ziakopoulos, Apostolos · indexed
308. Driving Risk Rating for Driver Monitoring Based on Satellite Data ↗ · 2016 · Winitthumkul, Natt et al. · indexed
309. Improved driver modeling for human-in-the-loop vehicular control · 2015 · Driggs-Campbell, Katherine et al. · archived
310. How Dangerous Is Looking Away From the Road? Algorithms Predict Crash Risk From Glance Patterns in Naturalistic Driving ↗ · 2012 · Liang, Yulan et al. · indexed
311. Driving Behavior Signals and Machine Learning: A Personalized Driver Assistance System ↗ · 2015 · Martinez, Maria Victoria et al. · indexed
312. Split Models for Predicting Multivehicle Crashes During High-Speed and Low-Speed Operating Conditions on Freeways ↗ · 2005 · Mohamed Abdel‐Aty et al. · indexed
313. Discretionary Cut-In Driving Behavior Risk Assessment Based on Naturalistic Driving Data ↗ · 2022 · Gao, Hongbo et al. · indexed
314. Learning the City’s Hidden Danger: A Continuous Hazard Field Intelligence Framework for Traffic Accident Emergence and Urban Safety Prediction ↗ · 2026 · Louzi, Nawal et al. · indexed
315. Normalizing Crash Risk of Partially Automated Vehicles under Sparse Data · 2023 · Goodall, Noah J. · archived
316. Proactive assessment of road curve safety using floating car data: An exploratory study · 2019 · Ambros, Jiří et al. · archived
317. Exploiting the use of recurrent neural networks for driver behavior profiling ↗ · 2017 · de Carvalho, Eduardo Atem et al. · indexed
318. The viability of real-time prediction and prevention of traffic accidents ↗ · 2008 · Abdel-Aty, Mohamed et al. · indexed
319. Predicting Crash Severity using Naturalistic Driving Data and Neural Networks ↗ · 2026 · Somvanshi, Shriyank et al. · indexed
320. Injury severity prediction of traffic crashes with ensemble machine learning techniques: a comparative study ↗ · 2021 · Jamal, Arshad et al. · indexed
321. A Bayesian Tobit quantile regression approach for naturalistic longitudinal driving capability assessment ↗ · 2020 · Yu, Rongjie et al. · indexed
322. A Personalizable Driver Steering Model Capable of Predicting Driver Behaviors in Vehicle Collision Avoidance Maneuvers ↗ · 2017 · Schnelle, Scott et al. · indexed
323. Using empirical traffic trajectory data for crash risk evaluation under three-phase traffic theory framework ↗ · 2021 · Liu, Tong et al. · indexed
324. Unsupervised driving performance assessment using free-positioned smartphones in vehicles ↗ · 2016 · Zheng, Yang et al. · indexed
325. Safe Driving Is Sustainable Driving: An Interpretable Telematics Methodology ↗ · 2025 · Pinals, Lisa et al. · indexed
326. Linking Oregon Driver Records and Crash Data to Evaluate Interventions and Mitigate Driver Risk · 2026 · Hurwitz, David et al. · archived
327. Older driver fitness-to-drive evaluation using naturalistic driving data · 2015 · Guo, Feng et al. · archived
328. Analysis of in-vehicle driver behaviour data for improved safety ↗ · 2011 · Jensen, M. et al. · indexed
329. Traffic Crash Severity Prediction—A Synergy by Hybrid Principal Component Analysis and Machine Learning Models ↗ · 2020 · Assi, Khaled · indexed
330. A Novel Framework for Road Traffic Risk Assessment with HMM-Based Prediction Model ↗ · 2018 · Zheng, Xunjia et al. · indexed
331. Vehicle active security based on driver modeling ↗ · 2015 · Wang, Xiaoxia et al. · indexed
332. Comparing Machine Learning and Deep Learning Methods for Real-Time Crash Prediction ↗ · 2019 · Theofilatos, Athanasios et al. · indexed
333. Making Roads Safer by Making Drivers Better ↗ · 2017 · Balakrishnan, Hari · indexed
334. Profiling drivers to assess safe and eco-driving behavior – A systematic review of naturalistic driving studies ↗ · 2021 · Singh, Harpreet et al. · indexed
335. Predicting Relative Crash Risk from the Attentional Effects of the Cognitive Demand of Visual-Manual Secondary Tasks ↗ · 2017 · Young, Richard A. · indexed
336. Driver Profile and Driving Pattern Recognition for Road Safety Assessment: Main Challenges and Future Directions ↗ · 2023 · Tselentis, Dimitrios I. et al. · indexed
337. Prediction of driver alertness levels on mountain roads using machine learning models: A naturalistic driving study in China ↗ · 2025 · Liu, Tong et al. · indexed
338. Using the New SHRP2 Naturalistic Driving Study Safety Databases to Examine Safety Concerns for Older Drivers · 2019 · Knodler, Michael A. et al. · archived
339. Investigating fatal and injury crash patterns of teen drivers with unsupervised learning algorithms ↗ · 2021 · Hossain, Md Mahmud et al. · indexed
340. Assessing Safety Performance of Transportation Systems using Microscopic Simulation ↗ · 2008 · Cunto, Flávio José Craveiro · indexed
341. Driving event detection and driving style classification using artificial neural networks ↗ · 2017 · Brombacher, Patrick et al. · indexed
342. Segment level safety analysis using lane-changing behavior and driving volatility features from connected vehicle trajectories · 2025 · Han, Lei et al. · archived
343. Smart Diagnosis: Deep Learning Boosted Driver Inattention Detection and Abnormal Driving Prediction ↗ · 2022 · Jiang, Landu et al. · indexed
344. Risk assessment for Collision Avoidance Systems · 2014 · Houenou, Adam et al. · archived
345. A Data-Driven Spatio-Temporal Video-Based Model for Pedestrian-Vehicle Risk Prediction · 2026 · BENKHADDA, Oumaima et al. · archived
346. Predicting Reduced Driver Alertness on Monotonous Highways · 2015 · Larue, Gregoire S. et al. · archived
347. Comprehensive Evaluation of Freeway Driving Risks Based on Fuzzy Logic ↗ · 2023 · Xie, Lian et al. · indexed
348. A closed-loop crash warning system based on heterogeneous cues ↗ · 2011 · Gunaratne, Pujitha et al. · indexed
349. Maneuver-Based Driving Behavior Classification Based on Random Forest ↗ · 2019 · Xie, Jie et al. · indexed
350. Driver identification using vehicle acceleration and deceleration events from naturalistic driving of older drivers ↗ · 2017 · Fung, Nathanael C. et al. · indexed
351. Examining contributing factors on driving risk of naturalistic driving using K-means clustering and ordered logit regression ↗ · 2017 · Naji, Hasan A. H. et al. · indexed
352. Machine Learning-based Trajectory Optimization of Connected and Autonomous Vehicles · 2021 · Fan, Wei (David) et al. · archived
353. Extended Traffic Crash Modelling through Precision and Response Time Using Fuzzy Clustering Algorithms Compared with Multi-layer Perceptron ↗ · 1970 · Aghayan, Iman et al. · indexed
354. Driver models for personalised driving assistance ↗ · 2015 · Lefèvre, Stéphanie et al. · indexed
355. A strategic framework for road safety analysis in the connected and autonomous vehicle era ↗ · 2025 · Siddiqui, Abdul Basith et al. · indexed
356. Exploring Contributing Factors of Hazardous Events in Construction Zones Using Naturalistic Driving Study Data ↗ · 2020 · Chang, Yohan et al. · indexed
357. Analysis of hourly crash likelihood using unbalanced panel data mixed logit model and real-time driving environmental big data ↗ · 2018 · Chen, Feng et al. · indexed
358. Predicting driving decline and assessing crash risk in a globally aging population ↗ · 2022 · Babulal, Ganesh M. · indexed
359. Graphical models for driver behavior recognition in a SmartCar ↗ · 2002 · Oliver, N. et al. · indexed
360. Evaluation of driver-behavior models in real-world car-following task ↗ · 2009 · Angkititrakul, Pongtep et al. · indexed
361. Risk quantification and prediction of non-driving-related tasks on drivers' critical intervention behavior in autonomous driving scenarios ↗ · 2024 · Wang, Junhua et al. · indexed
362. Evaluating Harsh Braking Events as a Surrogate Measure of Crash Risk Using Connected-Vehicle Telematics ↗ · 2026 · Hossain, Md Tufajjal et al. · indexed
363. Driver crash risk factors and prevalence evaluation using naturalistic driving data · 2016 · Dingus, Thomas A. et al. · archived
364. Driver celeration behaviour and accidents – an analysis ↗ · 2008 · Wåhlberg, A.E. af · indexed
365. Looking Inside Out: Anticipating Driver Intent From Videos ↗ · 2024 · Kung, Yung-Chi et al. · indexed
366. Using bus critical driving events as surrogate safety measures for pedestrian and bicycle crashes based on GPS trajectory data ↗ · 2021 · Li, Pei et al. · indexed
367. A Bayesian framework for preventive assistance at road intersections · 2016 · Armand, Alexandre et al. · archived
368. A Cloud-based Driver Monitoring for Inefficient Driving Behavior using OBD2 Telematics ↗ · 2016 · Dixit, Swati et al. · indexed
369. Advanced Automatic Collision Notification Research Report · 2019 · Lee, E. et al. · archived
370. Performance of basic kinematic thresholds in the identification of crash and near-crash events within naturalistic driving data ↗ · 2017 · Perez, Miguel A. et al. · indexed
371. Using naturalistic driving data to identify driving style based on longitudinal driving operation conditions ↗ · 2021 · Lyu, Nengchao et al. · indexed
372. A deep learning based traffic crash severity prediction framework ↗ · 2021 · Rahim, Md Adilur et al. · indexed
373. Driver identification using driving behavior signals ↗ · 2005 · Wakita, T. et al. · indexed
374. Towards Efficient Risky Driving Detection: A Benchmark and a Semi-Supervised Model ↗ · 2024 · Cheng, Qimin et al. · indexed
375. Driver behavior classification model based on an intelligent driving diagnosis system ↗ · 2012 · Quintero M., Christian G. et al. · indexed
376. Advancing Crash Investigation With Connected and Automated Vehicle Data – Phase 2 · 2023 · Khattak, Asad J. et al. · archived
377. Privacy preserving driving style recognition ↗ · 2015 · Rizzo, Nicholas et al. · indexed
378. Recognition of Trip-Based Aggressive Driving: A System Integrated With Gaussian Mixture Model Structured of Factor-Analysis, and Hierarchical Clustering ↗ · 2022 · Wang, Junhua et al. · indexed
379. Techniques for Predicting High-Risk Drivers for Alcohol Countermeasures. Volume 2, User Manual · 1978 · Council, Forrest M. et al. · archived
380. Enhancing claim classification with feature extraction from anomaly‐detection‐derived routine and peculiarity profiles ↗ · 2023 · Duval, Francis et al. · indexed
381. Improving the transferability of the crash prediction model using the TrAdaBoost.R2 algorithm ↗ · 2020 · Tang, Dongjie et al. · indexed
382. Detecting motor vehicle crash blackspots based on their underlying behavioural, engineering, and spatial causes ↗ · 2019 · Afghari, Amir Pooyan · indexed
383. Analysis and prediction of deceleration behavior during car following using stochastic driver-behavior model ↗ · 2012 · Angkititrakul, Pongtep et al. · indexed
384. Evaluation of Tree-Based Machine Learning Algorithms for Accident Risk Mapping Caused by Driver Lack of Alertness at a National Scale ↗ · 2021 · Farhangi, Farbod et al. · indexed
385. Abnormal Driving Behavior Recognition Method Based on Smart Phone Sensor and CNN-LSTM ↗ · 2022 · Li, Hao et al. · indexed
386. Multi-Level Feature Extraction and Classification for Lane Changing Behavior Prediction and POD-Based Evaluation · 2024 · Rastin, Zahra et al. · archived
387. Learning-based approach for online lane change intention prediction ↗ · 2013 · Kumar, Puneet et al. · indexed
388. Risk assessment of non-stationary time series driving data based on FMK method for autonomous vehicles ↗ · 2023 · Du, Juan et al. · indexed
389. A Review of HMM-Based Approaches of Driving Behaviors Recognition and Prediction · 2021 · Deng, Qi et al. · archived
390. Driver inattention detection through intelligent analysis of readily available sensors ↗ · 2005 · Torkkola, K. et al. · indexed
391. Assessing safety in horizontal curves using surrogate safety measures and machine learning · 2025 · Nadimi, Navid et al. · archived
392. Integrated modeling of driver gaze and vehicle operation behavior to estimate risk level during lane changes ↗ · 2013 · Mori, Masataka et al. · indexed
393. Driver and pedestrian awareness-based collision risk analysis ↗ · 2016 · Roth, Markus et al. · indexed
394. Driver Identification Using Driving Behavior Signals ↗ · 2006 · Wakita, Toshihiro · indexed
395. A Novel IMU-Based Aggressiveness Index for Driver Behavior Assessment Using Wearable Sensing ↗ · 2026 · Garrosa, María et al. · indexed
396. Interpretable machine learning for evaluating risk factors of freeway crash severity ↗ · 2024 · Samerei, Seyed Alireza et al. · indexed
397. Assessing safety critical driving patterns of heavy passenger vehicle drivers using instrumented vehicle data – An unsupervised approach ↗ · 2021 · Yarlagadda, Jahnavi et al. · indexed
398. Continuous Risk Measures for Driving Support ↗ · 2018 · Eggert, Julian et al. · indexed
399. Risk Representation, Perception, and Propensity in an Integrated Human Lane-Change Decision Model ↗ · 2022 · Jiang, Longsheng et al. · indexed
400. A Learning-Based Approach for Lane Departure Warning Systems With a Personalized Driver Model · 2018 · Wang, Wenshuo et al. · archived
401. A multimodal approach for aggressive driving detection ↗ · 2016 · Kumtepe, Ömürcan et al. · indexed
402. An investigation of the relationship between demographic variables, driving behaviour and crash involvement risk of bus drivers: a case study from Iran ↗ · 2021 · Kashani, Ali Tavakoli et al. · indexed
403. Prediction of Risk Factors Influencing Severity Level of Traffic Accidents Using Artificial Intelligence ↗ · 2023 · Shatnawi, Nawras et al. · indexed
404. Risk Assessment of Commercial dangerous -goods truck drivers using geo-location data: A case study in China ↗ · 2020 · Niu, Shifeng et al. · indexed
405. Driving Performance Analysis of Driver Experience and Vehicle Familiarity Using Vehicle Dynamic Data ↗ · 2018 · Liu, Yongkang et al. · indexed
406. Scaling a Real-Time Driving Behaviour Analysis System ↗ · 2016 · Cabral, Bruno · indexed
407. Unsupervised Identification of Driving Styles from Naturalistic Driving Data Through a Context-Normalized Framework ↗ · 2026 · Xu, Cunzhi et al. · indexed
408. Prediction of Traffic Crash Severity Using Deep Neural Networks: A Comparative Study ↗ · 2020 · Assi, Khaled · indexed
409. DDSS: Driver decision support system based on the driver behaviour prediction to avoid accidents in intelligent transport system ↗ · 2024 · S, Balasubramani et al. · indexed
410. Australian National Risk Assessment Model: from vision to action ↗ · 2013 · Jurewicz, Chris · indexed
411. A spatially adaptive empirical Bayes framework with dynamic dispersion parameters for enhanced crash frequency prediction across rural highway networks ↗ · 2026 · Almasi, Seyed Ahmadreza et al. · indexed
412. Resilient road safety modeling through spatially disaggregated explainable AI. · 2026 · Ye H et al. · archived
413. Sensor-Based Extraction Approaches of In-Vehicle Information for Driver Behavior Analysis ↗ · 2020 · Kim, Beomjun et al. · indexed
414. Mileage Traveled, Driving Time, and Speeding Behavior as Predictors for Hazmat Transportation Risk Assessment Using Naturalistic Driving Data ↗ · 2019 · Li, Siyao et al. · indexed
415. Improving driving behavior by allowing drivers to browse their own recorded driving data ↗ · 2011 · Takeda, Kazuya et al. · indexed
416. Identifying the impact of the COVID-19 pandemic on driving behavior using naturalistic driving data and time series forecasting · 2021 · Katrakazas, Christos et al. · archived
417. A Multivariate Analysis of Crash and Naturalistic Driving Data in Relation to Highway Factors ↗ · 2013 · Gordon, Timothy et al. · indexed
418. Quantifying truck crash risk under the combined effects of multi-type aberrant driving behaviors: Two probabilistic approaches ↗ · 2025 · Baikejuli, Muladi et al. · indexed
419. Fuzzy Logic Model for Assessing Accident Proneness Based on Passenger Vehicle Speed in Real and Virtual Traffic Conditions ↗ · 2024 · Marković, Nenad et al. · indexed
420. Benchmarking Advanced Tabular AI Models for Classifying SAE Automation Levels in Crash Data · 2026 · Somvanshi, Shriyank et al. · archived
421. Driver Rating: a mobile application to evaluate driver behavior ↗ · 2021 · Trindade, Nielson S. et al. · indexed
422. Driving Behavior Analysis of Commercial Vehicles(Buses) Using a Risky Driving Judgment Device ↗ · 2012 · Oh, Ju-Taek · indexed
423. Evaluation of Bus Driver's Driving Behavior based on Entropy Weight TOPSIS Model ↗ · 2023 · Wang, Yaxuan · indexed
424. Probability of Detection (POD)-based Metric for Evaluation of Classifiers Used in Driving Behavior Prediction · 2019 · Ameyaw, Daniel Adofo et al. · archived
425. A Statistical and Machine Learning Approach to Assess Contextual Complexity of the Driving Environment Using Autonomous Vehicle Data— Technology Transfer Activities · 2024 · Ogle, Jennifer H et al. · archived
426. Multimodal Driver State Modeling through Unsupervised Learning · 2021 · Tavakoli, Arash et al. · archived
427. Accounting for Driver Distraction and Socioeconomic Characteristics in a Crash Risk Index: Naturalistic Driving Study ↗ · 2017 · Ye, Mengqiu et al. · indexed
428. Automatic Dangerous Driving Intensity Analysis for Advanced Driver Assistance Systems From Multimodal Driving Signals ↗ · 2018 · Yin, Jia-Li et al. · indexed
429. Driving style recognition using fuzzy logic ↗ · 2012 · Aljaafreh, Ahmad et al. · indexed
430. Validation and Analysis of Real-World Traffic Accident Black Spots in a Driving Simulator Environment ↗ · 2026 · Unsalan, Kevser et al. · indexed
431. Integrated Analysis of Driver Behavior during Signal Phase Transitions Using Fused Connected Vehicle Trajectory and High-Resolution Signal Event Data ↗ · 2026 · Zhang, Yuhan et al. · indexed
432. Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies (Preprint) ↗ · 2025 · Al-Hindawi, Firas et al. · indexed
433. Driving style identification and its association with risky driving behaviors among truck drivers based on GPS, load condition, and in-vehicle monitoring data ↗ · 2023 · Zhang, Chenxiao et al. · indexed
434. New Driver Workload Prediction Using Clustering-Aided Approaches ↗ · 2019 · Yi, Dewei et al. · indexed
435. Hidden Markov Model based driving event detection and driver profiling from mobile inertial sensor data ↗ · 2015 · Daptardar, Saurabh et al. · indexed
436. Model-based Estimation of Driver Intentions Using Particle Filtering ↗ · 2008 · Lidstrom, Kristoffer et al. · indexed
437. AI and Decision Support Systems for Crash Preventability PAR Processing · 2024 · Miller, Andrew et al. · archived
438. A novel approach to set driving simulator experiments based on traffic crash data ↗ · 2020 · Bobermin, Mariane Paula et al. · indexed
439. Predicting personal injury crash risk through working conditions, job strain, and risky driving behaviors among taxi drivers ↗ · 2018 · Ba, Xingqiang et al. · indexed
440. Adaptive Individual-Level Cognitive Driving Anomaly Detection Model Exclusively Using BSMs ↗ · 2023 · Wu, Di et al. · indexed
441. Using Naturalistic Driving Data to Predict Mild Cognitive Impairment and Dementia: Preliminary Findings from the Longitudinal Research on Aging Drivers (LongROAD) Study ↗ · 2021 · Di, Xuan et al. · indexed
442. Secure and Private Sensing for Driver Authentication and Transportation Safety : Final Report · 2017 · Voris, Jonathan et al. · archived
443. Context-Aware Driver Behavior Detection System in Intelligent Transportation Systems ↗ · 2013 · Al-Sultan, Saif et al. · indexed
444. Jerky driving—An indicator of accident proneness? ↗ · 2011 · Bagdadi, Omar et al. · indexed
445. Driving road safety forward through connected insurance ↗ · 2026 · Vignon, Daniel · indexed
446. Synthetic Dataset Generation of Driver Telematics ↗ · 2021 · So, Banghee et al. · indexed
447. Machine Learning Approach for Predicting Lane-Change Maneuvers using the SHRP2 Naturalistic Driving Study Data ↗ · 2021 · Das, Anik et al. · indexed
448. Avoiding Stress Driving: Online Trip Recommendation from Driving Behavior Prediction ↗ · 2019 · Verma, Rohit et al. · indexed
449. Driving Style Analysis Using Data Mining Techniques · 2010 · Constantinescu, Zoran et al. · archived
450. Combination of macroscopic and microscopic crash prediction models with multiple modeling approaches: A highway case study ↗ · 2024 · Rúa, Erik et al. · indexed
451. A safety score for the assessment of driving style ↗ · 2021 · Schöner, Hans-Peter et al. · indexed
452. Understanding Driving Behavior Using fNIRS and Machine Learning ↗ · 2021 · Izzetoglu, M. et al. · indexed
453. NEURAL NETWORK APPLICATION FOR DETECTION OF ROAD ACCIDENTS ↗ · 2020 · Zikratova, Tatyana V. et al. · indexed
454. The role of pre-crash driving instability in contributing to crash intensity using naturalistic driving data ↗ · 2019 · Arvin, Ramin et al. · indexed
455. Highly automated vehicle safety driver monitoring support through Bayesian MCMC Logistic Regression ↗ · 2021 · Corcoran, Nicole M et al. · indexed
456. Influence of Risky Driving Behavior and Road Section Type on Urban Expressway Driving Safety ↗ · 2022 · Xian, Huacai et al. · indexed
457. Verification of Crash Severity Estimation Algorithm for Autonomous Driving Using Real Crash Data ↗ · 2020 · Schneider, Kilian et al. · indexed
458. Driver Safety Evaluation Model Based on Discriminatory Analysis ↗ · 2009 · Tang, Youhua et al. · indexed
459. Experimental Research on Driver Behavior Monitoring Device apply to Transportation and Insurance Field ↗ · 2021 · Cong, Sang Nguyen et al. · indexed
460. Intelligent Driver Decision Support System in Vehicle Cabin: Reference Model for Dangerous Events Recognition and Learning ↗ · 2019 · Kashevnik, Alexey et al. · indexed
461. Quantifying visual road environment to establish a speeding prediction model: An examination using naturalistic driving data ↗ · 2019 · Yu, Bo et al. · indexed
462. Identification of high-risk roadway segments for wrong-way driving crash using rare event modeling and data augmentation techniques ↗ · 2023 · Ashraf, Md Tanvir et al. · indexed
463. Modeling Naturalistic Driving Environment with High-Resolution Trajectory Data · 2023 · Feng, Shuo et al. · archived
464. Smartphone sensing for understanding driving behavior: Current practice and challenges ↗ · 2020 · Mantouka, Eleni G. et al. · indexed
465. Rapid cognitive testing predicts real-world driving risk in commercial and medically at-risk drivers ↗ · 2025 · Atkin, Alice E. et al. · indexed
466. Exploiting Machine Learning Algorithms for Predicting Crash Injury Severity in Yemen: Hospital Case Study ↗ · 2020 · Al-Moqri, Tariq et al. · indexed
467. Robust Prediction of Lane Departure Based on Driver Physiological Signals ↗ · 2016 · Kochhar, Dev S. et al. · indexed
468. Cross-State Traffic Accident Risk Prediction Using Self-Supervised Representation Learning on the US-Accidents Dataset ↗ · 2026 · Alnami, Hani · indexed
469. Towards constructing a driver management system based on large-scale driving operation records ↗ · 2017 · Yokoyama, Daisaku et al. · indexed
470. D<sup>3</sup>: Abnormal driving behaviors detection and identification using smartphone sensors ↗ · 2015 · Chen, Zhongyang et al. · indexed
471. Modeling and prediction of driving performance measures based on multi-output convolutional Gaussian process ↗ · 2021 · Kasarla, Pranaykumar et al. · indexed
472. Vehicle Trajectory-Prediction Method Based on Driver Behavior-Classification and Informer Models ↗ · 2024 · Su, Jianyu et al. · indexed
473. Computer-based hazard perception test scores are associated with the frequency of heavy braking in everyday driving ↗ · 2019 · Hill, Andrew et al. · indexed
474. A simple model of driver behaviour to sustain design and safety assessment of automated systems in automotive environments ↗ · 2010 · Cacciabue, Pietro Carlo et al. · indexed
475. Real-time safety analysis using autonomous vehicle data: a Bayesian hierarchical extreme value model ↗ · 2022 · Kamel, Ahmed et al. · indexed
476. Use of Data Recorder for Driver Rating ↗ · 2006 · Mundke, Rahul et al. · indexed
477. A Two-Stage Driving-Style-Stratified Framework for Analyzing and Predicting Car-Following Conflict Risk in Mixed Traffic ↗ · 2026 · Yang, Manli et al. · indexed
478. Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field · 2023 · Du, Yurui et al. · archived
479. A risk field-based metric correlates with driver’s perceived risk in manual and automated driving: A test-track study · 2021 · Kolekar, Sarvesh et al. · archived
480. Intervehicle Safety Warning Information System for Unsafe Driving Events ↗ · 2012 · Oh, Cheol et al. · indexed
481. Feasibility of Driver Judgment as Basis for a Crash Avoidance Database · 2002 · Smith, David L. et al. · archived
482. Using Deep Learning in Severity Analysis of At-Fault Motorcycle Rider Crashes · 2018 · Das, Subasish et al. · archived
483. DA-TRA: Incorporating Driver Attention and Road Scene Understanding for Traffic Risk Assessment ↗ · 2026 · Lin, Huei Yung et al. · indexed
484. An Individual Driving Behavior Portrait Approach for Professional Driver of HDVs with Naturalistic Driving Data ↗ · 2022 · He, Yi et al. · indexed
485. Who is behind the wheel? Driver identification and fingerprinting ↗ · 2018 · Ezzini, Saad et al. · indexed
486. Naturalistic Spatial Road Safety Analysis: The SmartMaps Project · 2026 · Nikolaou, Dimitrios et al. · archived
487. Convolutional Neural Network for Driving Maneuver Identification Based on Inertial Measurement Unit (IMU) and Global Positioning System (GPS) · 2020 · Ahmed, Mobyen Uddin et al. · archived
488. Application of Extremely Randomised Trees for exploring influential factors on variant crash severity data · 2022 · Afshar, Farshid et al. · archived
489. Non-stationary concept of accident prediction ↗ · 2016 · Mansourkhaki, Ali et al. · indexed
490. Driving Style Recognition under Connected Circumstance Using a Supervised Hierarchical Bayesian Model · 2021 · Chen, Depeng et al. · archived
491. A support vector machine approach to unintentional vehicle lane departure prediction ↗ · 2014 · Albousefi, Alhadi Ali et al. · indexed
492. Incorporating driving behavior into vehicle fuel consumption prediction: methodology development and testing · 2024 · Ashqar, Huthaifa I. et al. · archived
493. Tactical driver behavior prediction and intent inference: A review ↗ · 2011 · Doshi, Anup et al. · indexed
494. Driver Lane-Changing Behavior Prediction Based on Deep Learning ↗ · 2021 · Wei, Cheng et al. · indexed
495. Analysis of Road-User Interaction by Extraction of Driver Behavior Features Using Deep Learning · 2020 · Bichicchi, Arianna et al. · archived
496. A Crash Surrogate Metric considering Traffic Flow Dynamics in a Motorway Corridor · 2018 · Wang, Xu et al. · archived
497. Analysis of driver behaviors during common tasks using frontal video camera and CAN-Bus information ↗ · 2011 · Jain, Jinesh J et al. · indexed
498. Prediction of human driver behaviors based on an improved HMM approach · 2018 · Deng, Qi et al. · archived
499. Predicting driver lane change intent using HCRF ↗ · 2015 · Wen, Yu et al. · indexed
500. How predictive-forward-collision-warning reduces the collision risk of leading vehicle driver ↗ · 2025 · Fu, Qiang et al. · indexed
501. Probabilistic trajectory prediction with Gaussian mixture models ↗ · 2012 · Wiest, Jurgen et al. · indexed
502. Fuzzy-based driver monitoring system to assess dangerous driving on roads ↗ · 2025 · Zargari, SeyedAman et al. · indexed
503. Investigating the Factors Influencing Driving Risk Using Driving Experimental Data ↗ · 2018 · Yang, Man et al. · indexed
504. A Predictive Model of a Driver’s Target Trajectory Based on Estimated Driving Behaviors ↗ · 2023 · Yan, Zhanhong et al. · indexed
505. Considering Traffic and Roadway Context in Driver Behavior Assessments ↗ · 2016 · Liang, Yulan et al. · indexed
506. Real-Time Driver and Traffic Data Integration for Enhanced Road Safety ↗ · 2024 · Huang, Yufei et al. · indexed
507. An Adaptive Forward Collision Warning Framework Design Based on Driver Distraction ↗ · 2018 · Iranmanesh, Seyed Mehdi et al. · indexed
508. Estimating Driver Personality Traits From On-Road Driving Data ↗ · 2023 · Kimura, Ryusei et al. · indexed
509. MIMIC — Multidisciplinary Initiative on Methods to Integrate and Create Realistic Artificial Data · 2023 · Edara, Praveen K. et al. · archived
510. Wearable Sensors for Evaluating Driver Drowsiness and High Stress ↗ · 2019 · Becerra-Sánchez, Enriqueta Patricia et al. · indexed
511. A hierarchical machine learning classification approach for secondary task identification from observed driving behavior data ↗ · 2019 · Osman, Osama A. et al. · indexed
512. A Novel Model-Based Driving Behavior Recognition System Using Motion Sensors ↗ · 2016 · Wu, Minglin et al. · indexed
513. Application of classification algorithms for analysis of road safety risk factor dependencies ↗ · 2014 · Kwon, Oh Hoon et al. · indexed
514. A framework for driver specific inference of danger at signalized intersections ↗ · 2003 · Dariush, Behzad et al. · indexed
515. DriveNet: A deep learning framework with attention mechanism for early driving maneuver prediction · 2025 · M'haouach, Mohamed et al. · archived
516. PREDICTOR: A tool to predict the timing of the take-over response process in semi-automated driving ↗ · 2024 · Janssen, Christian P. et al. · indexed
517. A real-time autonomous highway accident detection model based on big data processing and computational intelligence · 2016 · Özbayoğlu, Ahmet Murat et al. · archived
518. Analyzing Pile-Up Crash Severity: Insights from Real-Time Traffic and Environmental Factors Using Ensemble Machine Learning and Shapley Additive Explanations Method · 2024 · Samerei, Seyed Alireza et al. · archived
519. Integrated driver modelling considering state transition feature for individual adaptation of driver assistance systems ↗ · 2010 · Raksincharoensak, Pongsathorn et al. · indexed
520. An Exploration of the Use of Artificial Intelligence for Enhanced Traffic Management, Operations and Safety · 2024 · Juri, Natalia Ruiz et al. · archived
521. Predicting Compliance with Speed Limits using Speed Limit Credibility Perception and Risk Perception Data ↗ · 2020 · Yao, Yao et al. · indexed
522. Decision Anticipation for Driving Assistance Systems ↗ · 2020 · Amadori, Pierluigi Vito et al. · indexed
523. Comparison among driving state prediction models for car-following condition based on EEG and driving features ↗ · 2019 · Yang, Liu et al. · indexed
524. Can we predict driver distraction without driver psychophysiological state? ↗ · 2019 · de Salis, Emmanuel et al. · indexed
525. An Improved Safe Driving Training System Based on Learning of Driving Behaviors ↗ · 2019 · Haramak, Toshiyuki et al. · indexed
526. Crashes and crash-surrogate events: Exploratory modeling with naturalistic driving data ↗ · 2012 · Wu, Kun-Feng et al. · indexed
527. Real-Time Detection System of Driver Distraction Using Machine Learning · 2013 · Tango, Fabio et al. · archived
528. Identification of dynamic driving styles based on behavioral primitives. · 2026 · Zheng, X et al. · archived
529. Prediction of Drivers’ Red-Light Running Behaviour in Connected Vehicle Environments Using Deep Recurrent Neural Networks ↗ · 2024 · Komol, Md Mostafizur Rahman et al. · indexed
530. Teen driver crashes potentially preventable by crash avoidance features and teen-driver-specific safety technologies ↗ · 2022 · Mueller, Alexandra S. et al. · indexed
531. Technology Applications for Traffic Safety Programs: A Primer · 2008 · NHTSA · archived
532. iRisk: Towards Responsible AI-Powered Automated Driving by Assessing Crash Risk and Prevention ↗ · 2025 · Mbelekani, Naomi et al. · indexed
533. Predictive analysis techniques for road accident injuries: A survey ↗ · 2017 · Chaudhary, Roopal et al. · indexed
534. Bayesian, maneuver-based, long-term trajectory prediction and criticality assessment for driver assistance systems ↗ · 2014 · Schreier, Matthias et al. · indexed
535. Adaptive mobility-based intelligent decision-making system for driver behaviour prediction with motion nano sensor in VANET ↗ · 2018 · Cloudin, S. et al. · indexed
536. Utilizing UAV video data for in-depth analysis of drivers’ crash risk at interchange merging areas ↗ · 2018 · Gu, Xin et al. · indexed
537. Driving behavior analysis with smartphones ↗ · 2012 · Paefgen, Johannes et al. · indexed
538. Application of Different Exposure Measures in Development of Planning-Level Zonal Crash Prediction Models ↗ · 2012 · Pirdavani, Ali et al. · indexed
539. Situation Awareness for Driver-Centric Driving Style Adaptation · 2024 · Haselberger, Johann et al. · archived
540. Driver impairment detection using decision tree based feature selection and classification ↗ · 2023 · Çetinkaya, Mert et al. · indexed
541. Can a video-based hazard perception test used for driver licensing predict crash involvement? ↗ · 2015 · Horswill, Mark S. et al. · indexed
542. Modeling a Heavy-duty Vehicle Data Collection Process for Authenticating Driver Identity and Analyzing Driver Behavior Under Duress ↗ · 2024 · Biggs, Tyler et al. · indexed
543. Using Traffic Disturbance Metrics to Estimate and Predict Freeway Traffic Breakdown and Safety Events ↗ · 2021 · Azizi, Leila et al. · indexed
544. The utility of cognitive testing to predict real world commercial driving risk ↗ · 2023 · Scott, Daniel et al. · indexed
545. Road Network-Level Driving Risk Model Based on MPCGCN ↗ · 2025 · Zhang, Hengming et al. · indexed
546. Critical factors affecting mobile phone use while driving through the exploitation of smartphone sensor data ↗ · 2023 · Akritidou, Sofia et al. · indexed
547. Review of: "Crash severity analysis of vulnerable road users using machine learning" · 2021 · Ziakopoulos, Apostolos · archived
548. Predicting perceived risk of traffic scenes using computer vision ↗ · 2023 · de Winter, Joost et al. · indexed
549. Driving-Style Assessment from a Motion Sickness Perspective Based on Machine Learning Techniques · 2023 · Ruiz Colmenares, Jon Ander et al. · archived
550. Driving skill classification in curve driving scenes using machine learning ↗ · 2016 · Chandrasiri, Naiwala P. et al. · indexed
551. An Efficient Method for Driver Abnormal Lane-Changing Identification Based on Trajectory Data ↗ · 2024 · Liu, Xu et al. · indexed
552. Analysing truck harsh braking incidents to study roundabout accident risk ↗ · 2018 · Kamla, Jwan et al. · indexed
553. Driver pre-accident operation mode study based on vehicle-vehicle traffic accidents ↗ · 2011 · Jiangqiang Gong et al. · indexed
554. Driving Behavior Analysis Guidelines for Intelligent Transportation Systems ↗ · 2021 · Azadani, Mozhgan Nasr et al. · indexed
555. RFCNN: Traffic Accident Severity Prediction Based on Decision Level Fusion of Machine and Deep Learning Model ↗ · 2021 · Manzoor, Mubariz et al. · indexed
556. Identifying Driver Interactions via Conditional Behavior Prediction · 2021 · Tolstaya, Ekaterina et al. · archived
557. Driver categorization based on vehicle motion and trajectory data ↗ · 2015 · Mihaly, Andras et al. · indexed
558. Advanced Driver Assistance Systems for Driver Health and Fatigue Monitoring Using Camera, Biometric Sensors, Telematics and Machine Learning ↗ · 2025 · Bhargav, Matavalam · indexed
559. Online intention recognition applied to real simulated driving maneuvers · 2020 · Deng, Qi et al. · archived
560. Computer Vision and Machine Learning Based Traffic Scene Perception and Car Driver Injury Assessment ↗ · 2023 · Wei, Sun et al. · indexed
561. Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis ↗ · 2015 · Qi, Geqi et al. · indexed
562. Driving Style Recognition of Taxi Drivers Based on Naturalistic Driving Data ↗ · 2023 · Yan, Pengwei et al. · indexed
563. Vehicular data acquisition and analytics system for real-time driver behavior monitoring and anomaly detection ↗ · 2017 · Nirmali, Bhashinee et al. · indexed
564. Modeling of injury severity of distracted driving accident using statistical and machine learning models ↗ · 2025 · Sorum, Neero Gumsar et al. · indexed
565. Feature-Transfer based Driving Control Model Guided by Driver Attention ↗ · 2022 · Gao, Jun et al. · indexed
566. Application of Real Field Connected Vehicle Data for Aggressive Driving Identification on Horizontal Curves ↗ · 2017 · Jahangiri, Arash et al. · indexed
567. A Bayesian finite mixture change-point model for assessing the risk of novice teenage drivers · 2017 · Li, Qing et al. · archived
568. Predicting Traffic Accidents Severity Using Multiple Analytical Techniques ↗ · 2023 · Elawady, Ahmed et al. · indexed
569. Guidelines for Evaluating Safety Using Traffic Encounters: Proactive Crash Estimation on Roadways with Conventional and Autonomous Vehicle Scenarios · 2023 · Tarko, Andrew P. et al. · archived
570. Vehicle sensing data acquisition and analysis ↗ · 2018 · Wu, Linna et al. · indexed
571. Fatigue Driving Prediction on Commercial Dangerous Goods Truck Using Location Data: The Relationship between Fatigue Driving and Driving Environment ↗ · 2020 · Niu, Shifeng et al. · indexed
572. Collision Risk Rating of Traffic Scene from Dashboard Cameras ↗ · 2017 · Wang, Yu et al. · indexed
573. Real-Time Run-Off-Road Risk Prediction Based on Deep Learning Sequence Forecasting Approach ↗ · 2024 · Chen, Yunteng et al. · indexed
574. A Systematic Methodology to Evaluate Prediction Models for Driving Style Classification ↗ · 2020 · Silva, Iván et al. · indexed
575. Hazardous Driving Event Detection and Analysis System in Vehicular Networks ↗ · 2013 · Oh, Cheol et al. · indexed
576. A Deep Learning Approach to Detect Real-Time Vehicle Maneuvers Based on Smartphone Sensors ↗ · 2020 · Li, Pei et al. · indexed
577. Factors contributing to intercity commercial bus drivers' crash involvement risk ↗ · 2018 · Besharati, Mohammad Mehdi et al. · indexed
578. Assessment of driver stopping prediction models before and after the onset of yellow using two driving simulator datasets ↗ · 2016 · Machiani, Sahar Ghanipoor et al. · indexed
579. Smartphone-Based Measurement Systems for Road Vehicle Traffic Monitoring and Usage-Based Insurance ↗ · 2014 · Handel, Peter et al. · indexed
580. Modeling and Prediction of Driver-Vehicle-Unit Velocity Using Adaptive Neuro-Fuzzy Inference System in Real Traffic Flow ↗ · 2019 · Moghaddam, Iman Tahbaz-zadeh et al. · indexed
581. Predictive Threat Assessment via Reachability Analysis and Set Invariance Theory ↗ · 2011 · Falcone, Paolo et al. · indexed
582. Moving attention from the road: A new methodology for the driver distraction evaluation using machine learning approaches ↗ · 2009 · Tango, Fabio et al. · indexed
583. Towards Better Driver Safety: Empowering Personal Navigation Technologies with Road Safety Awareness ↗ · 2022 · Xu, Runsheng et al. · indexed
584. Efficient Smartphone Sensor Analysis for Behavioral Profiling in Transportation Research: A Case Study of Driver and Passenger Classification · 2024 · Lozano, Wilson et al. · archived
585. A New Paradigm for Rear-end Crash Prevention Driving Performance ↗ · 2001 · Burgett, August L. et al. · indexed
586. Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data ↗ · 2020 · Riera, Luis et al. · indexed
587. Evaluation Method of Naturalistic Driving Behaviour for Shared-Electrical Car ↗ · 2022 · Ji, Shaobo et al. · indexed
588. Drive GPT – An AI Based Generative Driver Model ↗ · 2024 · Kumar, Vedant et al. · indexed
589. Naturalistic Driving Data Analytics: Safety Evaluation With Multi-State Survival Models ↗ · 2023 · Lei, Yiyuan et al. · indexed
590. XGBoost Algorithm-Based Monitoring Model for Urban Driving Stress: Combining Driving Behaviour, Driving Environment, and Route Familiarity ↗ · 2021 · Lu, Yue et al. · indexed
591. Effects of Behavior-Based Driver Feedback Systems on Commercial Long Haul Operator Safety ↗ · 2017 · Pradhan, Anuj K et al. · indexed
592. Predicting Driver Intent from Models of Naturalistic Driving ↗ · 2015 · Bender, Asher et al. · indexed
593. Analysis of Human and Cultural Factors Causing Risk of Accidents in Jordanian Drivers · 2022 · Jadaan, Khair et al. · archived
594. Driver State and Behavior Detection Through Smart Wearables · 2021 · Tavakoli, Arash et al. · archived
595. Unobtrusive Driver Drowsiness Prediction Using Driving Behavior from Vehicular Sensors ↗ · 2018 · Dehzangi, Omid et al. · indexed
596. Hybrid Model Based Pre-Crash Severity Estimation for Automated Driving ↗ · 2020 · Schneider, Kilian et al. · indexed
597. Deep InSight: A Driver-State Estimation Platform for Processing Naturalistic Driving Data · 2024 · Sharma, Anuj et al. · archived
598. Driving Behavior Safety Levels: Classification and Evaluation ↗ · 2021 · Yang, Kui et al. · indexed
599. Characterizing the "Driver DNA" Through CAN Bus Data Analysis ↗ · 2017 · Fugiglando, Umberto et al. · indexed
600. Consistent Threat Assessment in Rear-End Near-Crashes Using BTN and TTB Metrics, Road Information and Naturalistic Traffic Data ↗ · 2017 · Gelso, Esteban R. et al. · indexed
601. Toward modeling and classification of naturalistic driving ↗ · 2005 · Torkkola, K. et al. · indexed
602. Driving Drowsiness Detection and Proactive Safety Using Deep Learning LSTM multimodal of Vision and Vehicle Signals ↗ · 2025 · Sanikal, Vijayachandar · indexed
603. Improving road safety with ensemble learning: Detecting driver anomalies using vehicle inbuilt cameras ↗ · 2023 · Chengula, Tumlumbe Juliana et al. · indexed
604. A Framework to Assess Pedestrian Exposure Using Personal Device Data ↗ · 2022 · Douglas, Grace et al. · indexed
605. A spatial graph learning framework for multi‐scale road safety management based on road‐curve features and open‐source data ↗ · 2025 · Gao, Zhixiang et al. · indexed
606. The effect of different mobile uses on crash frequency among young drivers: application of statistical models and clustering analysis ↗ · 2022 · Gazder, Uneb et al. · indexed
607. Enhancing Safe Traffic Operations Using Connected Vehicles Data and Technologies · 2017 · Li, Zhibin et al. · archived
608. Driving course prediction for vehicle handling maneuvers ↗ · 2012 · Ruoqian Liu et al. · indexed
609. Driver Identification Using Accelerometers Data and Optimized Dataset Construction: A Naturalistic Driving Study ↗ · 2024 · Zhou, Hongmei et al. · indexed
610. Factors Identification and Prediction for Mind Wandering Driving Using Machine Learning ↗ · 2021 · Lin, Ciyun et al. · indexed
611. Driver modeling: Data collection, model analysis, and optimization ↗ · 2012 · Benderius, Ola · indexed
612. Driving Behavior Identification and Real-World Fuel Consumption Estimation With Crowdsensing Data · 2022 · Pirayre, Aurélie et al. · archived
613. Personalized Driver Workload Inference by Learning From Vehicle Related Measurements · 2019 · Yi, Dewei et al. · archived
614. Applying a joint model of crash count and crash severity to identify road segments with high risk of fatal and serious injury crashes ↗ · 2020 · Afghari, Amir Pooyan et al. · indexed
615. Drivers Performance Evaluation using Physiological Measurement in a Driving Simulator ↗ · 2018 · Koohestani, Afsaneh et al. · indexed
616. Causal relationship discovery for highway crash analysis using semi-data-driven Bayesian network ↗ · 2025 · Wang, Yifan et al. · indexed
617. Advanced vehicular sensing of road artifacts and driver behavior ↗ · 2015 · AbuAli, Najah · indexed
618. Vehicle involvements in hydroplaning crashes: Applying interpretable machine learning · 2020 · Das, Subasish et al. · archived
619. Modeling and adaptation of stochastic driver-behavior model with application to car following ↗ · 2011 · Angkititrakul, Pongtep et al. · indexed
620. Estimation of Hurry Driving Behavior based on Hierarchical Bayesian Model Using Continuous-Logging Drive Recorder ↗ · 2011 · Ikenishi, Toshihito et al. · indexed
621. Application of machine learning models to predict driver left turn destination lane choice behavior at urban intersections ↗ · 2024 · Moinuddin, Mohammed et al. · indexed
622. Driver Distraction Recognition Based on Smartphone Sensor Data ↗ · 2018 · Xie, Jie et al. · indexed
623. Application of local conditional autoregressive models for development of zonal crash prediction models and identification of crash risk boundaries ↗ · 2019 · Soroori, Emad et al. · indexed
624. Driver behavior assessment based on the belief theory in the driver-vehicle-environment system ↗ · 2015 · Derbel, Oussama et al. · indexed
625. Connected and autonomous vehicles: A cyber-risk classification framework ↗ · 2018 · Sheehan, Barry et al. · indexed
626. Effective and Fair Identification of Hazardous Locations ↗ · 2004 · Tarko, Andrew P. et al. · indexed
627. Real-time driving behavior identification based on driver-in-the-loop vehicle dynamics and control ↗ · 2009 · Filev, Dimitar et al. · indexed
628. Predicting Driver Alertness by Learning Takeover Patterns from Vehicle Telemetry ↗ · 2025 · Chung, Wong Kah et al. · indexed
629. Clustering Method of Driving Scenes based on Road Shape by using Road Map Images ↗ · 2023 · Hashimoto, Kohjiro et al. · indexed
630. An interpretable prediction model of illegal running into the opposite lane on curve sections of two-lane rural roads from drivers’ visual perceptions ↗ · 2023 · He, Li et al. · indexed
631. A Multi-Model Machine Learning Framework for Predicting and Ranking High-Risk Urban Intersections in Riyadh ↗ · 2026 · Altwaijri, Saleh et al. · indexed
632. Driver behavioural classification from trajectory data ↗ · 2005 · Rigolli, Marco et al. · indexed
633. Identifying policy-relevant traffic crash risk factors in Cheongju, South Korea using logistic regression and explainable machine learning. ↗ · 2026 · Lee, EJ et al. · indexed
634. A Study of Crash Rates for Vehicles with Advanced Crash Avoidance Features ↗ · 2011 · Geisler, Scott et al. · indexed
635. Driving style recognition using a smartphone as a sensor platform ↗ · 2011 · Johnson, Derick A. et al. · indexed
636. Study of the Impact of a Telematics System on Safe and Fuel-Efficient Driving in Trucks · 2014 · Boodlal, Leverson et al. · archived
637. Predicting a Driver's Personality from Daily Driving Behavior ↗ · 2019 · Ishikawa, Yuichi et al. · indexed
638. Real-time prediction and avoidance of secondary crashes under unexpected traffic congestion ↗ · 2018 · Park, Hyoshin et al. · indexed
639. Statistical Threat Assessment for General Road Scenes Using Monte Carlo Sampling ↗ · 2008 · Eidehall, Andreas et al. · indexed
640. A Driver Behavior Monitoring System for Sustainable Traffic and Road Construction ↗ · 2023 · Sappl, Hannes et al. · indexed
641. Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art · 2022 · Westhofen, Lukas et al. · archived
642. Fatal crashes involving vehicles with driver warning systems: Identifying risk factors using a correlated random parameters ordered logit modeling approach ↗ · 2024 · Gajera, Hardik et al. · indexed
643. Predictive Models and GIS for Road Safety: Application to a Segment of the Chone–Flavio Alfaro Road ↗ · 2025 · Moreno-Ponce, Luis Alfonso et al. · indexed
644. University of Florida (UF) Testbed Initiative – Alternative Transportation Safety Systems · 2020 · Agarwal, Nithin et al. · archived
645. Trajectory prediction of a lane changing vehicle based on driver behavior estimation and classification ↗ · 2014 · Liu, Peng et al. · indexed
646. Absence behavior as traffic crash predictor in bus drivers ↗ · 2009 · Wåhlberg, Anders E. af et al. · indexed
647. Truck Driver's Driving Performance Assessment ↗ · 2008 · Krishnamoorthy, Bharathi et al. · indexed
648. Evaluation of driving performance in relation to safety on an expressway using field driving data ↗ · 2019 · Charly, Anna et al. · indexed
649. Prediction Performance of Lane Changing Behaviors: A Study of Combining Environmental and Eye-Tracking Data in a Driving Simulator ↗ · 2019 · Deng, Qi et al. · indexed
650. Assessing Crash Risks of Evacuation Traffic: A Simulation-based Approach · 2019 · Hasan, Samiul et al. · archived
651. Smartphone Sensor Dataset for Driver Behavior Analysis ↗ · 2022 · Wawage, Pawan et al. · indexed
652. Contributing Factors to Lane Departure Crashes: A Data-Driven Multi-Scale Identification Approach Leveraging Heterogeneous Data ↗ · 2026 · Wang, Shuyi et al. · indexed
653. Autonix: Real-Time Driver Drowsiness and Crash Detection System · 2025 · Shaikh, Maizah et al. · archived
654. FATCM: Frequency-Aware Temporal Convolution Model for Driver Risk Responsiveness Detection Based on EEG ↗ · 2024 · Zhang, Wenqi et al. · indexed
655. Modeling the Driving Behavior of Electric Vehicles Using Smartphones and Neural Networks · 2014 · Díaz-Álvarez, Alberto et al. · archived
656. Highway Driving Events Identification and Classification using Smartphone ↗ · 2018 · Al-Din, Munaf Salim Najim · indexed
657. Stochastic Mixture Modeling of Driving Behavior During Car Following · 2013 · Angkititrakul, Pongtep et al. · archived
658. Towards a Driver Model: Preliminary Study of Lane Change Behavior ↗ · 2008 · Dogan, Ueruen et al. · indexed
659. Aircraft Accident Prediction Using Machine Learning Classification Algorithms ↗ · 2023 · Kačar, Rade et al. · indexed
660. Enhancing the Performance of a Model to Predict Driving Distraction with the Random Forest Classifier ↗ · 2021 · Ahangari, Samira et al. · indexed
661. Analysis of microscopic behavior models for probabilistic modeling of driver behavior ↗ · 2016 · Wheeler, Tim A. et al. · indexed
662. A Smartphone-Based Driver Safety Monitoring System Using Data Fusion ↗ · 2012 · Lee, Boon-Giin et al. · indexed
663. Anomalous Behavior Detection in Trajectory Data of Older Drivers · 2023 · Ghoreishi, Seyedeh Gol Ara et al. · archived
664. Extracting Useful Information from Basic Safety Message Data: An Empirical Study of Driving Volatility Measures and Crash Frequency at Intersections ↗ · 2018 · Kamrani, Mohsen et al. · indexed
665. A Computational Driver Model to Predict Driver Control at Unsignalised Intersections ↗ · 2020 · Boda, Christian-Nils et al. · indexed
666. Modeling Lane-Change Risk in Urban Expressway Off-Ramp Area Based on Naturalistic Driving Data ↗ · 2019 · Zhang, Lanfang et al. · indexed
667. Extracting information from continuous naturalistic driving data: sample applications ↗ · 2010 · Perez, Miguel A. et al. · indexed
668. Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring ↗ · 2020 · Rong, Yao et al. · indexed
669. Estimation of Safety Benefits for Heavy-Vehicle Crash Warning Applications Based on Vehicle-to-Vehicle Communications · 2017 · Guglielmi, John et al. · archived
670. A hybrid approach for identifying factors affecting driver reaction time using naturalistic driving data ↗ · 2019 · Arbabzadeh, Nasim et al. · indexed
671. Driver behavior modeling based on database of personal mobility driving in urban area ↗ · 2008 · Kazunari Inata et al. · indexed
672. Vehicle Automation and Transportability of Crash Modification Factors · 2019 · Davis, Gary et al. · archived
673. Trajectory Clustering Aided Personalized Driver Intention Prediction for Intelligent Vehicles ↗ · 2018 · Yi, Dewei et al. · indexed
674. Near Crashes as Crash Surrogate for Naturalistic Driving Studies ↗ · 2010 · Guo, Feng et al. · indexed
675. Extreme value analysis for safety benefit estimation of adaptive cruise control (ACC) ↗ · 2025 · Morando, Alberto · indexed
676. Developing a Curve Risk Prediction Model for a Safe System Signature Project ↗ · 2015 · Durdin, Paul et al. · indexed
677. Developing a Curve Risk Prediction Model for a Safe System Signature Project ↗ · 2015 · Durdin, Paul et al. · indexed
678. Exploring Driver Responses to Unexpected and Expected Events Using Probabilistic Topic Models · 2017 · Venkatraman, Vindhya et al. · archived
679. A Mathematical Model for the Prediction of Speeding with its Validation ↗ · 2013 · Zhao, Guozhen et al. · indexed
680. Long short‐term memory and convolutional neural network for abnormal driving behaviour recognition ↗ · 2020 · Jia, Shuo et al. · indexed
681. SafeDrive: Knowledge- and data-driven risk-sensitive decision-making for autonomous vehicles with Large Language Models · 2025 · Zhou, Zhiyuan et al. · archived
682. Modelling self-reported driver perspectives and fatigued driving via deep learning ↗ · 2021 · Zoupos, Alexandros et al. · indexed
683. Investigating Individual Driver Performance: Applying DEA on Simulator Data · 2014 · Babaee, Seddigheh et al. · archived
684. Neural network for lane change prediction assessing driving situation, driver behavior and vehicle movement ↗ · 2017 · Leonhardt, Veit et al. · indexed
685. Learning Drivers’ Behavior to Improve Adaptive Cruise Control ↗ · 2014 · Rosenfeld, Avi et al. · indexed
686. Artificial Intelligence based Driver Vigilance System for Accident Prevention ↗ · 2021 · Tonni, Surraiya Islam et al. · indexed
687. Driving Behavior Recognition Based on Sensors in Mobile Phone ↗ · 2013 · Lu, Jianxin et al. · indexed
688. Extended-Range Prediction Model Using NSGA-III Optimized RNN-GRU-LSTM for Driver Stress and Drowsiness ↗ · 2021 · Chui, Kwok Tai et al. · indexed
689. Study on Evaluation Method of Driving Risk of New Energy Operating Vehicles ↗ · 2021 · Yang, Shuo et al. · indexed
690. Comparison of GPS and MEMS Support for Smartphone-Based Driver Behavior Monitoring ↗ · 2015 · Bruwer, Frederick J. et al. · indexed
691. Study of the Impact of a Telematics System on Safe and Fuel-Efficient Driving in Trucks [Technology Brief] · 2014 · NHTSA · archived
692. Reliability-based assessment of road design features and crash risk using a socio-economic index for safety prioritization · 2026 · Saedi, Hossein et al. · archived
693. Calibration of Safety Prediction Models for Planning Transportation Networks ↗ · 2006 · Tarko, Andrew P. · indexed
694. Predicting arterial breakdown probability: A data mining approach ↗ · 2017 · Iqbal, Shahadat et al. · indexed
695. Driving Behaviour Detection Using Smart Steering Wheel: Supervised and Unsupervised Classification ↗ · 2023 · Abarghooei, Arash et al. · indexed
696. On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-Sensing and Vision-Based Analysis, Evaluations, and Insights · 2020 · Siddharth, Siddharth et al. · archived
697. Analysis of volatility in driving regimes extracted from basic safety messages transmitted between connected vehicles · 2017 · Khattak, Asad J. et al. · archived
698. THE PREDICTION OF ACCIDENT LIABILITY THROUGH BIOGRAPHICAL DATA AND PSYCHOMETRIC TESTS ↗ · 1973 · Harano, RM et al. · indexed
699. Improving Truck Driver Turnover Predictions With Survival Stacking and Reference‐Dependent Covariates ↗ · 2026 · Suzuki, Yoshinori · indexed
700. Feature selection for driving style and skill clustering using naturalistic driving data and driving behavior questionnaire ↗ · 2023 · Chen, Yao et al. · indexed
701. Enhancing safe driving through real-time driver monitoring using triboelectric energy harvesting and deep transfer learning ↗ · 2025 · Cho, Hyunwoo et al. · indexed
702. Risk Generation and Identification of Driver–Vehicle–Road Microtraffic System ↗ · 2022 · Huang, Heye et al. · indexed
703. Predictive Rollover Index Based on Frontal Road Geometry and On-Line Driver Information ↗ · 2013 · Chen, Liang-kuang et al. · indexed
704. An effective approach for real-time drowsy driving prediction using quantized fisher-Gabor features and latent-dynamic conditional random fields · 2025 · Bakheet, Samy et al. · archived
705. Machine learning for predictions of road traffic accidents and spatial network analysis for safe routing on accident and congestion-prone road networks ↗ · 2024 · Berhanu, Yetay et al. · indexed
706. Personalised neural networks for a driver intention prediction: communication as enabler for automated driving · 2020 · Reschke, Johannes et al. · archived
707. A tool for long-term predictions of road safety based on travel demand modeling and network characteristics ↗ · 2019 · Llorca, Carlos et al. · indexed
708. Driver Digital Twin for Online Prediction of Personalized Lane-Change Behavior ↗ · 2023 · Liao, Xishun et al. · indexed
709. Road traffic accident prediction modelling: a literature review ↗ · 2017 · Yannis, George et al. · indexed
710. Risk Assessment by a Passenger of an Autonomous Vehicle Among Pedestrians: Relationship Between Subjective and Physiological Measures · 2021 · Petit, Jeffery et al. · archived
711. Driving style analysis based on information from the vehicle · 2019 · Lasocki, Jakub et al. · archived
712. Driving-PASS: An Automatic Driving Performance Assessment System for Stroke Drivers Based on ANN and SVM ↗ · 2018 · Jeon, Sanghoon et al. · indexed
713. Can vehicle longitudinal jerk be used to identify aggressive drivers? An examination using naturalistic driving data ↗ · 2017 · Feng, Fred et al. · indexed
714. Performance Monitoring System for driver with light motor vehicle (LMV) learner's license ↗ · 2016 · Yadav, Shubham et al. · indexed
715. The Surface Accelerations Reference — A Large-scale, Interactive Catalog of Passenger Vehicle Accelerations ↗ · 2024 · Ali, Gibran et al. · indexed
716. Toward Driver Intention Prediction for Intelligent Vehicles: A Deep Learning Approach ↗ · 2021 · Azadani, Mozhgan Nasr et al. · indexed
717. Exploration of Some Key Issues in Developing and Applying Crash–Conflict Models for Signalized Intersections · 2023 · Rajeswaran, Thanushan et al. · archived
718. Driver Behavior Analysis Using Deep Learning ↗ · 2022 · K R, Prasanna Kumar et al. · indexed
719. On Driver's Workload in Dangerous Scenes Based on EEG Data ↗ · 2020 · Tan, Jiyuan et al. · indexed
720. Machine Learning Approach to Short-Term Traffic Congestion Prediction in a Connected Environment ↗ · 2018 · Elfar, Amr et al. · indexed
721. An early warning system for predicting driver fatigue ↗ · 2017 · Lin, Yu-Yao et al. · indexed
722. New time-based surrogate safety measure to assess crash risk in car-following scenarios ↗ · 2014 · Behbahani, Hamid et al. · indexed
723. STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios · 2024 · Xu, Dongyang et al. · archived
724. Learning When Agents Can Talk to Drivers Using the INAGT Dataset and Multisensor Fusion ↗ · 2021 · Wu, Tong et al. · indexed
725. Real-time traffic accidents post-impact prediction: Based on crowdsourcing data ↗ · 2020 · Lin, Yunduan et al. · indexed
726. Data-Driven Online Estimation of Driver Model Parameters for Vehicle Trajectory Prediction ↗ · 2024 · Fischer, Johannes et al. · indexed
727. Unsupervised Scalable Multimodal Driving Anomaly Detection ↗ · 2023 · Qiu, Yuning et al. · indexed
728. An Alternative Method for Traffic Accident Severity Prediction: Using Deep Forests Algorithm ↗ · 2020 · Gan, Jing et al. · indexed
729. Road Risk Prediction for Vehicle-Road Collaboration Based on Machine Learning Algorithms ↗ · 2026 · Zhang, Linjun et al. · indexed
730. Long-Term Effects of Driver Feedback on Harsh Braking Behavior: Insights from Survival Models ↗ · 2026 · Kontaxi, Armira et al. · indexed
731. On random-parameter count models for out-of-sample crash prediction: Accounting for the variances of random-parameter distributions ↗ · 2021 · Xu, Pengpeng et al. · indexed
732. KNOWLEDGE DISCOVERY FROM ROAD TRAFFIC ACCIDENT DATA IN ETHIOPIA: DATA QUALITY, ENSEMBLING AND TREND ANALYSIS FOR IMPROVING ROAD SAFETY ↗ · 2012 · Beshah, Tibebe et al. · indexed
733. An Unsupervised Approach for Inferring Driver Behavior From Naturalistic Driving Data ↗ · 2015 · Bender, Asher et al. · indexed
734. A Comparative Study of Data-Driven Human Driver Lateral Control Models ↗ · 2018 · Okamoto, Kazuhide et al. · indexed
735. Abnormal driving detection using real time Global Positioning System data ↗ · 2011 · Mohamad, Ishak et al. · indexed
736. Practical Minimum Sample Size for Road Crash Time-Series Prediction Models ↗ · 2020 · Hassouna, Fady M. A. et al. · indexed
737. Classification of road curves and corresponding driving profile via smartphone trip data ↗ · 2017 · Karaduman, Mucahit et al. · indexed
738. Mobile Application for Safe Driving ↗ · 2014 · Akhtar, Nadeem et al. · indexed
739. Optimization of Forward Collision Warning Algorithm Considering Truck Driver Response Behavior Characteristics ↗ · 2024 · Bao, Yanli et al. · indexed
740. Using hierarchical Bayesian binary probit models to analyze crash injury severity on high speed facilities with real-time traffic data ↗ · 2013 · Yu, Rongjie et al. · indexed
741. Probabilistic Collision Prediction for Vision-Based Automated Road Safety Analysis ↗ · 2007 · Saunier, Nicolas et al. · indexed
742. Prediction of road accidents in Qatar 2022 · 2012 · Al-Khalifa, Khalifa et al. · archived
743. Dynamic safety assessment of Autonomous Vehicle based on Multivariate Bayesian Inference (DyAVSA) ↗ · 2025 · Popov, Peter · indexed
744. ADES: Automatic Driver Evaluation System ↗ · 2012 · Kaplan, Kemal et al. · indexed
745. Empowering Commercial Vehicles through Data-Driven Methodologies ↗ · 2021 · Bethaz, Paolo et al. · indexed
746. Who’s Driving My Car? A Machine Learning based Approach to Driver Identification ↗ · 2018 · Martinelli, Fabio et al. · indexed
747. A CNN2D-LSTM Framework for Rule-Based Pedestrian-Vehicle Risk Scenario Detection · 2026 · BENKHADDA, Oumaima et al. · archived
748. Longitudinal Jerk Estimation of Driver Intentions for Advanced Driver Assistance Systems ↗ · 2017 · Bisoffi, Andrea et al. · indexed
749. Airplane Crash Severity Prediction Using Machine Learning ↗ · 2021 · Mehta, Jay et al. · indexed
750. The Concept of Proactive Traffic Management for Enhancing Freeway Safety and Operation ↗ · 2010 · Abdel‐Aty, Mohamed et al. · indexed
751. The Concept of Proactive Traffic Management for Enhancing Freeway Safety and Operation ↗ · 2010 · Mohamed Abdel‐Aty et al. · indexed
752. A Preliminary Investigation into the Design of Driver Evaluator Using a Physics-Assisted Machine Learning Technique ↗ · 2025 · Hou, Mingke et al. · indexed
753. Privacy-Preserving Machine Learning Models for Traffic Forecasting · 2025 · Mahmoud, Mahmoud N. · archived
754. Enhanced Driver Profiling Through Clustering of Naturalistic Driving Data for Risk Evaluation and Insights ↗ · 2025 · Hermia, J. Janorious et al. · indexed
755. A Privacy-Preserving Learning Method for Analyzing HEV Driver’s Driving Behaviors ↗ · 2023 · Lee, Chung-Hong et al. · indexed
756. Informational Aspects of Automated Monitoring of Dangerous Driving ↗ · 2019 · Gorodnichev, M. G. et al. · indexed
757. Analysis of individual driver velocity prediction using data-driven driver models with environmental features ↗ · 2017 · Ziegmann, Johannes et al. · indexed
758. A Forward Collision Probability Index Based on the Driving Behavior ↗ · 2016 · Chen, Yuan-Lin · indexed
759. The Role of Artificial Intelligence and Machine Learning in Federally Supported Surface Transportation 2022 Updates · 2022 · NHTSA · archived
760. Road User Collision Prediction Using Motion Patterns Applied to Surrogate Safety Analysis ↗ · 2014 · Saunier, Nicolas et al. · indexed
761. Towards Big Data Analytics and Mining for UK Traffic Accident Analysis, Visualization & Prediction ↗ · 2020 · Feng, Mingchen et al. · indexed
762. Self-Supervised Learning for Driving Maneuver Prediction from Multivariate Temporal Signals ↗ · 2020 · Gao, Jun et al. · indexed
763. Application of Machine Learning Techniques in Short-term Travel Time Prediction Using Multiple Data Sources · 2020 · Taghipour, Homa et al. · archived
764. AN ARTIFICIAL INTELLIGENT APPROACH TO TRAFFIC ACCIDENT ESTIMATION: MODEL DEVELOPMENT AND APPLICATION · 2009 · Akgüngör, Ali Payıdar et al. · archived
765. Infrastructure-based End-to-End Learning and Prevention of Driver Failure ↗ · 2023 · Buckman, Noam et al. · indexed
766. Leveraging UAV Capabilities for Vehicle Tracking and Collision Risk Assessment at Road Intersections ↗ · 2022 · Zong, Shuya et al. · indexed
767. A Counterfactual AI-Based System for Spatio-Temporal Traffic Risk Prediction and Intelligent Safety Intervention in Smart Transportation Systems ↗ · 2026 · Louzi, Nawal et al. · indexed
768. WiP Abstract: Edge-Based Privacy of Naturalistic Driving Data Collection ↗ · 2023 · Bunting, Matt et al. · indexed
769. Car-Following Safety Control Framework Based on Short-Term Safety Evolution Pattern Prediction ↗ · 2025 · Zhang, Huansong et al. · indexed
770. Bayesian spatial joint modeling of traffic crashes on an urban road network ↗ · 2014 · Zeng, Qiang et al. · indexed
771. Location and Driver-Specific Vehicle Adaptation Using Crowdsourced Data ↗ · 2022 · Menner, Marcel et al. · indexed
772. Model-Based Threat Assessment for Avoiding Arbitrary Vehicle Collisions ↗ · 2010 · Brännström, Mattias et al. · indexed
773. PREDICTION FOR TRAFFIC ACCIDENT SEVERITY: COMPARING THE ARTIFICIAL NEURAL NETWORK, GENETIC ALGORITHM, COMBINED GENETIC ALGORITHM AND PATTERN SEARCH METHODS ↗ · 2012 · Kunt, Mehmet Metin et al. · indexed
774. Simulation-based driver scoring and profiling system ↗ · 2024 · Medarević, Jelena et al. · indexed
775. Machine Learning Based Meta-Analysis of IIHS Moderate Overlap Frontal Crash Test for Rear Seat Occupant Safety Performance ↗ · 2026 · Lalwala, Mitesh et al. · indexed
776. Intelligent driving assistant based on accident risk maps analysis and intelligent driving diagnosis ↗ · 2017 · Quintero, M. Christian G. et al. · indexed
777. Modelling stop intersection approaches using Gaussian processes · 2013 · Armand, Alexandre et al. · archived
778. Comparison of Machine Learning Algorithms for Predicting Traffic Accident Severity ↗ · 2019 · Mamlook, Rabia Emhamed Al et al. · indexed
779. Revolutionizing predictive analytics: A hybrid CNN‐LSTM approach to predicting cognitive status using driving behavior analysis ↗ · 2025 · Al‐Hammadi, Noor et al. · indexed
780. Abnormal Driving Pattern Detection from GPS Trajectories Using Vision Transformer · 2026 · Ghoreishi, Seyedeh Gol Ara et al. · archived
781. The Role of Artificial Intelligence and Machine Learning in Federally Supported Surface Transportation Initiatives : [brochure] · 2018 · NHTSA · archived
782. Optimization of the Braking Strategy for an Emergency Braking System by the Application of Machine Learning ↗ · 2018 · Schratter, Markus et al. · indexed
783. Context-aware system for pre-triggering irreversible vehicle safety actuators ↗ · 2017 · Bohmlander, Dennis et al. · indexed
784. DrivingSense: Dangerous Driving Behavior Identification Based on Smartphone Autocalibration ↗ · 2017 · Ma, Chunmei et al. · indexed
785. Model-Based Probabilistic Collision Detection in Autonomous Driving ↗ · 2009 · Althoff, M. et al. · indexed
786. Driving Style and Traffic Prediction with Artificial Neural Networks Using On-Board Diagnostics and Smartphone Sensors ↗ · 2024 · Al-refai, Ghaith et al. · indexed
787. FARSA: Fully Automated Roadway Safety Assessment · 2018 · Song, Weilian et al. · archived
788. Accurate Emotion Recognition for Driving Risk Prevention in Driver Monitoring System ↗ · 2018 · Wu, Yueh-Lin et al. · indexed
789. Mobile vehicle crash detection system ↗ · 2018 · Yee, Tey Han et al. · indexed
790. For Preventative Automated Driving System (PADS): Traffic Accident Context Analysis Based on Deep Neural Networks ↗ · 2020 · Kang, Minhee et al. · indexed
791. Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior ↗ · 2016 · Morton, Jeremy et al. · indexed
792. Real-Time Highway Traffic Accident Prediction Based on the k-Nearest Neighbor Method ↗ · 2009 · Lv, Yisheng et al. · indexed
793. Automation of the Validation, Anonymization, and Augmentation of Big Data from a Multi-year Driving Study ↗ · 2015 · Wallace, Bruce et al. · indexed
794. AI-Based Uncertainty Estimation for Risk-Aware Lane Departure Warning System to Enhance Roadway Safety ↗ · 2026 · Karjol, Akshay et al. · indexed
795. Transponder- and Camera-based advanced driver assistance system ↗ · 2012 · Westhofen, Daniel et al. · indexed
796. Driving maneuver classification from time series data: a rule based machine learning approach ↗ · 2022 · Haque, Md. Mokammel et al. · indexed
797. Autonomous vehicle safety: An advanced bagging classifier technique for crash injury prediction ↗ · 2025 · Channamallu, Sai Sneha et al. · indexed
798. Privacy-preserving trajectory classification of driving trip data based on pattern discovery techniques ↗ · 2017 · Wu, Gene P.K. et al. · indexed
799. Infrastructure-Based Pedestrian Risk Tagging Methodology to Support AV Risk Assessment ↗ · 2022 · Chia, Wei Ming Dan et al. · indexed
800. Enhancing smart road safety with federated learning for Near Crash Detection to advance the development of the Internet of Vehicles ↗ · 2024 · Djenouri, Youcef et al. · indexed
801. A Universal Automated Data-Driven Modeling Framework for Truck Traffic Volume Prediction · 2021 · Mahdavian, Amirsaman et al. · archived
802. Exploring the Interactions of Factors Influencing Autonomous Vehicle Crash Severity Using Interpretable Machine Learning ↗ · 2026 · Wang, Xuekai et al. · indexed
803. Calculation of Driving Parameters for GOA4 Signaling System using Machine Learning Methods · 2022 · Akçay, Mehmet Taciddin et al. · archived
804. Influential factors of red-light running at signalized intersection and prediction using a rare events logistic regression model ↗ · 2016 · Ren, Yilong et al. · indexed
805. Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data ↗ · 2019 · Sadhu, Vidyasagar et al. · indexed
806. Predicting road traffic accidents using artificial neural network models ↗ · 2018 · de Soto, Borja García et al. · indexed
807. Triplet Loss for Effective Deployment of Deep Learning Based Driver Identification Models ↗ · 2021 · Zeng, Li et al. · indexed
808. Driver Monitoring-Based Lane-Change Prediction: A Personalized Federated Learning Framework ↗ · 2023 · Du, Runjia et al. · indexed
809. Detecting Organ Failure in Motor Vehicle Trauma Patients: A Machine Learning Approach ↗ · 2019 · Bhattaru, Abhijit et al. · indexed
810. Driver Behavior's KDD and its application in driver status warning system ↗ · 2010 · Liu, Yanfei et al. · indexed
811. Driving risk assessment and prevention strategies for autonomous vehicle in open-pits ↗ · 2023 · CHEN, Zhifa et al. · indexed
812. CoDriver ETA: Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary Task ↗ · 2022 · Sun, Yiwen et al. · indexed
813. Prediction of NCAP Star Rating Probability Distribution of a Passenger Vehicle ↗ · 2004 · Deng, Bing et al. · indexed
814. Over 60,000 km in a year: remotely collecting large-volume high-quality data from a logistics truck · 2022 · Berger, Christian et al. · archived
815. Will vehicle data be shared to address the how, where, and who of traffic accidents? ↗ · 2019 · de Winter, J. C. F. et al. · indexed
816. Pre-Collision Warning and Recommendation System for Assistant Driver using Least Square Support Vector Machine and Fuzzy Logic ↗ · 2019 · Puspaningrum, Alifia et al. · indexed
817. Decision-Making Tool for Road Preventive Maintenance Using Vehicle Vibration Data · 2019 · Ahn, Changbum et al. · archived
818. Comparing Statistical and Machine Learning Classifiers: Alternatives for Predictive Modeling in Human Factors Research ↗ · 2003 · Carnahan, Brian et al. · indexed
819. Predicting Vehicle States of Naturalistic Driving Data Based on Adaptive Optimization Gaussian Process Regression ↗ · 2021 · Qiao, Xuqiang et al. · indexed
820. A Telematics Service System for Vehicle Safety Based on Vehicular Data Acquisition Module ↗ · 2013 · Meng, Lei et al. · indexed
821. Predicting Taxi–Passenger Demand Using Streaming Data ↗ · 2013 · Moreira-Matias, Luis et al. · indexed
822. Explainable Boosting Machine: A Contemporary Glass-Box Model to Analyze Work Zone-Related Road Traffic Crashes ↗ · 2023 · Alahmadi, Raed et al. · indexed
823. On the use of fuzzy neural networks in the framework of a risk-based approach in control and supervisory activities in civil aviation ↗ · 2023 · Obraztsov, R. А. et al. · indexed
824. Severity Prediction of Traffic Accident Using an Artificial Neural Network ↗ · 2016 · Alkheder, Sharaf et al. · indexed
825. Data fusion-based traffic prediction and software decision support for recreational suburban roads · 2026 · Afandizadeh, Shahriar et al. · archived
826. AI-enabled prediction of sim racing performance using telemetry data ↗ · 2024 · Hojaji, Fazilat et al. · indexed
827. Monitoring Fuel-Efficient Driving Patterns to Augment ADAS to regulate the fuel dynamically using Machine Learning ↗ · 2024 · Manjunath T K · indexed
828. Design and Application of Deep Learning-Based Crash Damage Prediction Model for Self-Driving Cars ↗ · 2023 · Zhang, Wenxia et al. · indexed
829. Study on Predicting Bus Lateral Transfer Ratio Using a Modified Grey Model ↗ · 2018 · Tian, Shun et al. · indexed
830. Multi-Feature Agglomerative Hierarchical Clustering Based Abnormal Driving Behavior Detection ↗ · 2020 · Hui, Fei et al. · indexed
831. Cost-Effective Vehicle Monitoring System for Detecting Unacceptable Driver Behaviors on Road ↗ · 2019 · Md. Sakibur Rahman Sajal et al. · indexed
832. Developing a Prediction Model for Real-Time Incident Detection Leveraging User-Oriented Participatory Sensing Data ↗ · 2025 · Hossain, Md Tufajjal et al. · indexed
833. An intelligent smartphone based approach using IoT for ensuring safe driving ↗ · 2017 · Mamun, Mohd Abdullah Al et al. · indexed
834. Abnormal Driving Detection With Normalized Driving Behavior Data: A Deep Learning Approach ↗ · 2020 · Hu, Jie et al. · indexed
835. Day-to-Day Travel-Time Trends and Travel-Time Prediction from Loop-Detector Data ↗ · 2000 · Kwon, Jaimyoung et al. · indexed
836. Sensor Degradation Detection Algorithm for Automated Driving Systems · 2023 · Darab, Jonathan M et al. · archived
837. Driver/vehicle response diagnostic system for vehicle following based on Gaussian Mixture Model ↗ · 2012 · Butakov, Vadim et al. · indexed
838. Freeway’s Traffic Flow Breakdown Prediction Utilizing Disturbance Metrics Based on Trajectory Data ↗ · 2021 · Azizi, Leila et al. · indexed
839. Longitudinal Jerk Estimation for Identification of Driver Intention ↗ · 2015 · Bisoffi, Andrea et al. · indexed
840. Smart Cabin Application - Driver Health Monitoring System based on ML ↗ · 2023 · S Jyothi A, Gowrishankar · indexed
841. Real-time traffic congestion prediction using big data and machine learning techniques ↗ · 2022 · Chawla, Priyanka et al. · indexed
842. Application of machine learning for fuel consumption modelling of trucks ↗ · 2017 · Perrotta, Federico et al. · indexed
843. Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks ↗ · 2016 · Taylor, Adrian et al. · indexed
844. Crash Severity Prediction in Cold Regions Using Machine Learning: Integrating Weather, Lighting, and Road Surface Conditions ↗ · 2025 · Abaza, Osama · indexed
845. Driver Identification Using Vehicle Diagnostic Data with Fully Convolutional Neural Network ↗ · 2021 · Aslan, Caner et al. · indexed
846. Key Artificial Intelligence and Digitalization Solutions Towards Vision Zero in Road Safety · 2024 · Ziakopoulos, Apostolos et al. · archived
847. Lane Departure Warning Mechanism of Limited False Alarm Rate Using Extreme Learning Residual Network and ϵ-Greedy LSTM ↗ · 2020 · Gao, Qiaoming et al. · indexed
848. Application of Random Forest Model for Traffic Accidents Severity Prediction in Qassim Province of Saudi Arabia ↗ · 2022 · Almoshaogeh, Meshal · indexed
849. Improved Support Vector Machine Models for Work Zone Crash Injury Severity Prediction and Analysis ↗ · 2019 · Mokhtarimousavi, Seyedmirsajad et al. · indexed
850. Fusion of probe and fixed sensor data for short-term traffic prediction in urban signalized arterials ↗ · 2013 · Mehran, Babak et al. · indexed
851. The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis ↗ · 2021 · Yang, Chao et al. · indexed
852. A Semi-Supervised Tri-CatBoost Method for Driving Style Recognition ↗ · 2020 · Liu, Weirong et al. · indexed
853. Predicting Fuel Consumption and Emissions Using GPS-Based Machine Learning Models for Gasoline and Diesel Vehicles ↗ · 2025 · Alazemi, Fahd et al. · indexed
854. Employment of instrumented vehicles to identify real-time snowy weather conditions on freeways using supervised machine learning techniques – A naturalistic driving study ↗ · 2022 · Ali, Elhashemi M. et al. · indexed
855. Vehicle-Level Traffic Accident Detection on Vehicle-Mounted Camera Based on Cascade Bi-LSTM ↗ · 2020 · Son, Hyeon-Cheol et al. · indexed
856. Traffic Estimation And Prediction Based On Real Time Floating Car Data ↗ · 2008 · de Fabritiis, Corrado et al. · indexed
857. Exploring the Potentials of Open-Source Big Data and Machine Learning in Shared Mobility Fleet Utilization Prediction · 2023 · Abouelela, Mohamed et al. · archived
858. A CNN-LSTM Based Model to Predict Trajectory of Human-Driven Vehicle ↗ · 2023 · Alsanwy, Shehab et al. · indexed
859. Utilizing LSTM Networks for the Prediction of Driver Behavior ↗ · 2024 · DARSONO, Abd · indexed
860. Scenario-based collision detection using machine learning for highly automated driving systems ↗ · 2023 · Khatun, Marzana et al. · indexed
861. AI-BASED INTELLIGENT DRIVER MONITORING AND ACCIDENT PREVENTION SYSTEM USING MULTI-SENSOR FUSION ↗ · 2026 · M.B.Ramesh et al. · indexed
862. Road condition monitoring using unsupervised learning based bus trajectory processing ↗ · 2022 · Rajput, Pruthvish et al. · indexed
863. Prediction of Velocities on Motorways by k-Means Clustering ↗ · 2008 · Asamer, Johannes et al. · indexed
864. Spotting Road's Dangers: Graph Neural Networks for Abnormal Driving Detection ↗ · 2025 · Razzazi, Harir et al. · indexed
865. Attacks to Automatous Vehicles: A Deep Learning Algorithm for Cybersecurity ↗ · 2022 · Aldhyani, Theyazn H. H. et al. · indexed
866. Security Defense of Transportation Networks Against Cyberattacks: A Physics-Informed AI Approach · 2026 · Kim, Yongju et al. · archived
867. SignalGuru: Leveraging mobile phones for collaborative traffic signal schedule advisory ↗ · 2011 · Koukoumidis, Emmanouil et al. · indexed
868. Automated Machine Learning Pipeline for Traffic Count Prediction · 2021 · Mahdavian, Amirsaman et al. · archived
869. Neural Models for Benchmarking of Truck Driver Fuel Economy Performance ↗ · 2019 · Hoffman, Alwyn · indexed
870. A Driving Fingerprint Map Method of Driving Characteristic Representation for Driver Identification ↗ · 2018 · Cai, Hao et al. · indexed
871. Driver Behaviour Analysis Using Telematics Sensor Data and Deep Learning Models ↗ · 2025 · Yedilkhan, Didar et al. · indexed
872. Ship behavior prediction via trajectory extraction-based clustering for maritime situation awareness ↗ · 2022 · Murray, Brian et al. · indexed
873. The pothole patrol ↗ · 2008 · Eriksson, Jakob et al. · indexed
874. Neural Network based Vehicle Speed Prediction for Specific Urban Driving ↗ · 2018 · Zhang, Liansheng et al. · indexed
875. Artificial intelligence-based traffic flow prediction: a comprehensive review · 2023 · Sayed, Sayed A. et al. · archived
876. Transferability of Community-Based Collision Prediction Models for Use in Road Safety Planning Applications ↗ · 2010 · Khondakar, Bidoura et al. · indexed
877. Leveraging the Brier Score to Enhance Predictive Accuracy in Learning-Based Risk Assessment ↗ · 2024 · Patel, Anil Ranjitbhai et al. · indexed
878. On vehicle data acquisition system ↗ · 2011 · Kucera, Pavel et al. · indexed
879. Time Series-based Driving Event Recognition for Two Wheelers ↗ · 2023 · Nagasri Goparaju, Sai Usha et al. · indexed
880. Dynamic Risk Assessment: Leveraging Ensemble Learning for Context-Specific Risk Features ↗ · 2024 · Patel, Anil Ranjitbhai et al. · indexed
881. Development of advanced driver assist systems using smart phones ↗ · 2014 · Guan, Wei-Jue et al. · indexed
882. Low Cost Data Acquisition System for Road-Vehicle Interaction Using Arduino Board ↗ · 2021 · Pal Singh, Harinder et al. · indexed
883. Predicting Traffic Crash Severity in Jeddah Using Machine Learning Techniques: A Data-Driven Approach to Road Safety ↗ · 2025 · Alanazi, Fayez et al. · indexed
884. Driver assistant services using ubiquitous Smartphone ↗ · 2015 · Nalavde, Ravindra et al. · indexed
885. A Identification Method on Real-time Ship Traffic Accident ↗ · 2021 · Zhang, Shukui et al. · indexed
886. On the Impact of Floating Car Data and Data Fusion on the Prediction of the Traffic Density, Flow and Speed Using an Error Recurrent Convolutional Neural Network ↗ · 2021 · Mena-Oreja, Jesús et al. · indexed
887. Machine Learning-Based Road Surface Defect Detection from Signal Features Using Data from an Instrumented Vehicle Platform ↗ · 2026 · Uluutku, Berkin et al. · indexed
888. PROVIDING A WEB-BASED PLATFORM BASED ON PREDICTED WEIGHTS FROM EXISTING CONDITIONS · 2020 · Arandian, Navid et al. · archived
889. Risk assessment of maritime autonomous surface ships collisions using an FTA-FBN model ↗ · 2024 · Li, Pengchang et al. · indexed
890. Prediction of Traffic Flow in Vehicular Ad-hoc Networks using Optimized Based-Neural Network · 2024 · Turki, Ahmed Ibrahim · archived
891. A Review of Traffic State Prediction (TSP) Methods in Intelligent Transportation Systems (ITS) · 2023 · Ahanin, Fatemeh et al. · archived
892. Road Accident Analysis and Prediction of Accident Severity by Using Machine Learning in Bangladesh ↗ · 2019 · Labib, Md. Farhan et al. · indexed
893. Tire-road friction estimation utilizing smartphones · 2014 · Jaynes, Michael et al. · archived
894. Collision probability computation based on vehicle to vehicle communication ↗ · 2015 · Zeng, Ruili et al. · indexed
895. Comparative Analysis of Machine Learning-Based Approaches for Anomaly Detection in Vehicular Data ↗ · 2021 · Demestichas, Konstantinos et al. · indexed
896. Adaptive Driving Style Classification through Transfer Learning with Synthetic Oversampling ↗ · 2022 · Jardin, Philippe et al. · indexed
897. Data collection with "UYANIK": too much pain; but gains are coming ↗ · 2007 · Abut, H. et al. · indexed
898. An Automotive Distributed Mobile Sensor Data Collection with Machine Learning Based Data Fusion and Analysis on a Central Backend System ↗ · 2016 · Tiedemann, Tim et al. · indexed
899. Impact of positioning uncertainty of vulnerable road users on risk minimization in collision avoidance systems ↗ · 2015 · Themann, P. et al. · indexed
900. Artificial Intelligence-Based Traffic Flow Prediction: A Comprehensive Review · 2022 · Sayed, Sayed A. et al. · archived
901. Unsupervised Anomaly Detection for Cars CAN Sensors Time Series Using Small Recurrent and Convolutional Neural Networks ↗ · 2023 · Cherdo, Yann et al. · indexed
902. Reserch on Driver Body Monitoring System for Risk Sources of Intelligent Transportation ↗ · 2021 · Hu, Zhijie et al. · indexed
903. Fuzzy-Logic based Ship-Bridge Collision Alert Model Form Ship Behaviour Perspective ↗ · 2019 · Wu, Bing et al. · indexed
904. Sensitivity Analysis for Driver Energy Prediction with Environmental Features and Naturalistic Data ↗ · 2018 · Ziegmann, Johannes et al. · indexed
905. Rollover risk prediction of an instrumented heavy vehicle using high order sliding mode observer ↗ · 2009 · Imine, H. et al. · indexed
906. Traffic Conflict Prediction for Sharp Turns on Mountain Roads Based on Driver Behavior Patterns ↗ · 2025 · Zhou, Quanchen et al. · indexed
907. Vehicle Speed Estimation and Forecasting Methods Based on Cellular Floating Vehicle Data ↗ · 2016 · Lai, Wei-Kuang et al. · indexed
908. Investigating Prediction Models for Vehicle Demand in a Service Industry ↗ · 2022 · Alzaidi, Ahmed et al. · indexed
909. Improving Intelligent Systems with Explainable AI for Early Prediction and Analysis of Traffic Accidents ↗ · 2025 · Benfaress, Ilyass et al. · indexed
910. Path informed adaptive trend analyzer using Hilbert Huang transform for electric vehicle driving range prediction · 2026 · Aljafari, Belqasem et al. · archived
911. Predicting network flows from speeds using open data and transfer learning · 2023 · Mahajan, Vishal et al. · archived
912. Real-Time Traffic Accident Risk Assessment Based on Multimodal Sensor Data Fusion ↗ · 2023 · Baran, Nikodem et al. · indexed
913. A Comparison of State‐of‐the‐Art Classification Techniques for Expert Automobile Insurance Claim Fraud Detection ↗ · 2002 · Viaene, Stijn et al. · indexed
914. Traffic Accident Management System for Intelligent and Sustainable Vehicle Networking ↗ · 2023 · Radi, Wafaa et al. · indexed
915. BusTr ↗ · 2020 · Barnes, Richard et al. · indexed
916. Assessing the effectiveness of data mining tools in classifying and predicting road traffic congestion · 2024 · Arabiat, Areen et al. · archived
917. Study of Vehicle Video and CAN-Bus Data Synchronous Acquisition System ↗ · 2013 · Han, Huijuan et al. · indexed
918. Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach · 2025 · Al-Khateeb, Ghazi et al. · archived
919. Spatiotemporal representation of driving scenarios and classification using neural networks ↗ · 2017 · Gruner, Richard et al. · indexed
920. Personalized Adaptive Cruise Control via Gaussian Process Regression ↗ · 2021 · Wang, Yanbin et al. · indexed
921. An Intelligent Ensemble-Based Detection of In-Vehicle Network Intrusion ↗ · 2025 · Alalwany, Easa et al. · indexed
922. Optimization of Occupant Restraint System Using Machine Learning for THOR-M50 and Euro NCAP ↗ · 2024 · Heo, Jaehyuk et al. · indexed
923. Predicting Traffic Data in GIS using Different Neural Network Methods · 2022 · Ghasempoor, Zeynab et al. · archived
924. An automated decision making framework for modern vehicles CO(2) emissions using multi modal engine telemetry and feature interpretability. · 2026 · Saraswat, SK et al. · archived
925. Intelligent Expeditious Accident Detection and Prevention System ↗ · 2021 · Sampoornam, K P et al. · indexed
926. A Safety Control Method of Car-Following Trajectory Planning Based on LSTM ↗ · 2023 · Chen, Xingyu et al. · indexed
927. Assessment of the RSS Model Suitability using Graph Neural Network based on a Naturalistic Driving Dataset ↗ · 2022 · Ahn, Sungmoon et al. · indexed
928. Evaluating the Potential To Predict Activity Types from GPS and GIS Data ↗ · 2007 · McGowen, Patrick et al. · indexed
929. Encouraging Validatable Features in Machine Learning-Based Highly Automated Driving Functions ↗ · 2023 · De Candido, Oliver et al. · indexed
930. IoT-Enabled Smart Driver Seat for Real-Time Monitoring of Driver Safety and Alertness in Four-Wheelers to Prevent Accidents and Enhance Road Safety ↗ · 2026 · Pradeep, K.A. et al. · indexed
931. Recommendation for Ridesharing Groups Through Destination Prediction on Trajectory Data · 2019 · Tang, Lei et al. · archived
932. Prediction of Taxi Destinations Using a Novel Data Embedding Method and Ensemble Learning ↗ · 2019 · Zhang, Xiaocai et al. · indexed
933. Personalized Energy Consumption Prediction of CAEVs With Personal Driving Cycle Selection ↗ · 2022 · Hong, Seokjoon et al. · indexed
934. CJAMmer - traffic JAM Cause Prediction using Boosted Trees ↗ · 2016 · Moreira-Matias, Luis et al. · indexed
935. Boosting Traffic Crash Prediction Performance with Ensemble Techniques and Hyperparameter Tuning ↗ · 2025 · Goubraim, Naima et al. · indexed
936. Adaptive IDS for Cooperative Intelligent Transportation Systems Using Deep Belief Networks ↗ · 2022 · Almalki, Sultan Ahmed et al. · indexed
937. Application of Machine Learning in Ethical Design of Autonomous Driving Crash Algorithms ↗ · 2022 · Xiao, Yineng · indexed
938. Real-time Risk Assessment Framework for Unmanned Aircraft System (UAS) Traffic Management (UTM) · 2017 · Ancel, Ersin et al. · archived
939. Gaussian Process Regression for Tail Vehicle Departure Time Prediction at Signalized Intersections Using UAV Trajectory Data. ↗ · 2026 · Lu K et al. · indexed
940. An Earlier Predictive Rollover Index Designed for Bus Rollover Detection and Prevention ↗ · 2018 · Tian, Shun et al. · indexed
941. A Novel Loglinear Model for Freeway Travel Time Prediction ↗ · 2008 · Huang, Lili et al. · indexed
942. Data-Centric Autonomous Driving: A Data-Utilization Framework for Learning from Large-Scale Driving Logs ↗ · 2026 · Li, Yu et al. · indexed
943. Linking anonymous location traces through driving characteristics ↗ · 2013 · Zan, Bin et al. · indexed
944. Spatial big data analysis and artificial intelligence applications for transportation safety and network systems optimization ↗ · 2024 · Mussah, Abdul Rashid · indexed
945. RACH Traffic Prediction in Massive Machine Type Communications ↗ · 2025 · Mehri, Hossein et al. · indexed
946. Minimizing GPS Dependency for a Vehicle’s Trajectory Identification by Using Data from Smartphone Inertial Sensors and Onboard Diagnostics Device ↗ · 2017 · Ahmed, Umama et al. · indexed
947. Prediction region for average claim occurrence rate and average claim size in motor insurance ↗ · 2021 · Pan, Wei Yeing et al. · indexed
948. Intelligent energy consumption estimation for electric vehicles: Business processes and services ↗ · 2014 · Asthenopoulos, Vasileios et al. · indexed
949. Construction of Typical Driving Cycle for an Electric Bus Route Based on Real-World Data ↗ · 2023 · Ji, Jinhua et al. · indexed
950. Interpretable machine learning models for predicting and explaining vehicle fuel consumption anomalies · 2022 · Barbado, Alberto et al. · archived
951. Time-series forecasting of road distress parameters using dynamic Bayesian belief networks ↗ · 2023 · Philip, Babitha et al. · indexed
952. An Online Misbehavior Detection Model for Intelligent Transportation Systems ↗ · 2022 · Almalki, Sultan et al. · indexed
953. TrafficSense: Rich Monitoring of Road and Traffic Conditions us ing Mobile Smartphones ↗ · 2008 · Mohan, Prashanth et al. · indexed
954. Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction · 2024 · Shuyang, Dong, et al. · archived
955. A new pre-crash system for side impact protection ↗ · 2008 · Tandler, J. et al. · indexed
956. Cognitive driving: harnessing machine learning to understand driver behaviour ↗ · 2025 · Arunachalavel, Deepika et al. · indexed
957. A Hybrid TCN-Attention-BiLSTM Framework for AIS-Based Nearshore Vessel Speed Prediction and Risk Warning ↗ · 2026 · Liu, Xin et al. · indexed
958. Risk Assessment and Management based on Neuro-Fuzzy System for Safe and Flexible Navigation in Unsignalized Intersection ↗ · 2023 · Bellingard, Kévin et al. · indexed
959. A machine learning based scheme for enhancing the detection of position falsification attacks in vehicular ad hoc networks · 2026 · Abdelkreem, Eslam et al. · archived
960. Importance Weighted Gaussian Process Regression for Transferable Driver Behaviour Learning in the Lane Change Scenario ↗ · 2020 · Li, Zirui et al. · indexed
961. Lateral Pre-crash Sensing and Avoidance in Emotion Enabled Cognitive Agent based Vehicle-2-Vehicle Communication System ↗ · 2022 · Riaz, Faisal et al. · indexed
962. WEKA-based machine learning for traffic congestion prediction in Amman City · 2024 · Arabiat, Areen et al. · archived
963. The Road Condition Classification Using Machine Learning Method Based on Vibration Measurement Data in Yogyakarta ↗ · 2025 · Hermawan, Muhammad Taufik et al. · indexed
964. Securing an Electric Vehicle Using a Predictive Model · 2025 · Akshatha D · archived
965. Wolverine: Traffic and road condition estimation using smartphone sensors ↗ · 2012 · Bhoraskar, Ravi et al. · indexed
966. Travel Time Prediction Using Multi-layer Feed Forward Artificial Neural Network ↗ · 2012 · Wisitpongphan, Nawaporn et al. · indexed
967. Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning · 2020 · Li, Wenqing et al. · archived
968. Improving vehicle speed prediction transferability with network centrality ↗ · 2017 · Leodolter, Maximilian et al. · indexed
969. A Distributed Machine Learning-Based Scheme for Real-Time Highway Traffic Flow Prediction in Internet of Vehicles ↗ · 2025 · Alnami, Hani et al. · indexed
970. Prediction of Radio Signal Failures of Communication Based Train Operating Systems by Machine Learning Methods · 2024 · Arslan, Burak et al. · archived
971. Eco-Driving Level Evaluation Model for Electric Buses Entering and Leaving Stops ↗ · 2025 · Lyu, Aihong et al. · indexed
972. Improving Driving Style in Connected Vehicles via Predicting Road Surface, Traffic, and Driving Style ↗ · 2024 · Jawad, Yahya Kadhim et al. · indexed
973. Estimating energy consumption of a PHEV using vehicle and on-board navigation data ↗ · 2015 · Ourabah, Abdel-Djalil et al. · indexed
974. An Embedded Machine Learning Based Road Conditions and Driving Behavior Monitoring System ↗ · 2024 · Mosleh, Bayan et al. · indexed
975. Textual risk mining for maritime situational awareness ↗ · 2014 · Razavi, Amir H. et al. · indexed
976. Addressing imbalanced data in predicting injury severity after traffic crashes: A comparative analysis of machine learning models ↗ · 2024 · Bazarnovi, Sadjad et al. · indexed
977. CAVeCTIR: Matching Cyber Threat Intelligence Reports on Connected and Autonomous Vehicles Using Machine Learning ↗ · 2022 · Raptis, George E. et al. · indexed
978. Microservice-Oriented Cloud-Based Driver Vigilance System for Accident Protections ↗ · 2022 · Verma, Rachit et al. · indexed
979. VehiCast: Real-Time Highway Traffic Incident Forecasting System Using Federated Learning and Vehicular Ad Hoc Network ↗ · 2025 · Alnami, Hani et al. · indexed
980. Advancing Autonomous Vehicle Safety: Machine Learning to Predict Sensor-Related Accident Severity ↗ · 2024 · Shafique, Rahman et al. · indexed
981. Prediction of Pilot's Reaction Time Based on EEG Signals ↗ · 2020 · Binias, Bartosz et al. · indexed
982. A Machine Learning-based Scheme for Enhancing the Detection of Position Falsification Attacks in Vehicular Ad-Hoc Networks · 2024 · Abdelkreem, Eslam et al. · archived
983. Urban Mobility Pattern Detection: Development of a Classification Algorithm Based on Machine Learning and GPS ↗ · 2024 · Molina-Campoverde, Juan José et al. · indexed
984. Freeway travel time forecast using artifical neural networks with cluster method ↗ · 2009 · Lee, Ying · indexed
985. Detection of Anomalous Driving Behavior using Vehicle Trajectory Data ↗ · 2025 · Priyanka, A. et al. · indexed
986. Traffic Flow Prediction with Rainfall Impact Using a Deep Learning Method ↗ · 2017 · Jia, Yuhan et al. · indexed
987. Traffic congestion prediction using machine learning: Amman City case study ↗ · 2024 · Arabiat, Areen et al. · indexed
988. A crash avoidance system based upon the cockroach escape response circuit ↗ · 2002 · Chun-Ta Chen et al. · indexed
989. Sequence-to-Sequence Recurrent Graph Convolutional Networks for Traffic Estimation and Prediction Using Connected Probe Vehicle Data ↗ · 2023 · Abdelraouf, Amr et al. · indexed
990. Associative Learning of Vessel Motion Patterns for Maritime Situation Awareness ↗ · 2006 · Bomberger, Neil et al. · indexed
991. Addressing Polymorphic Attack Strategies with Misbehavior Detection for ITS ↗ · 2022 · Almalki, Sultan et al. · indexed
992. Modeling Arterial Travel Time with Limited Traffic Variables using Conditional Independence Graphs & State-Space Neural Networks ↗ · 2011 · Abu-Lebdeh, Ghassan et al. · indexed
993. Analysis of current attacks on the CAN bus and development of a new solution to detect these types of malicious threats · 2023 · Mohammed, Karrouchi et al. · archived
994. A Computer Model for Simulating an Unrestrained Driver in Frontal Collisions ↗ · 1982 · Stucki, Sheldon L. et al. · indexed
995. Transfer Learning Based Long Short-Term Memory Car-Following Model for Adaptive Cruise Control ↗ · 2022 · Zhou, Jiazu et al. · indexed
996. The design and implementation of road condition warning system for drivers ↗ · 2019 · Teke, Mustafa et al. · indexed
997. A system for cloud-based deviation prediction of propulsion energy consumption for EVs ↗ · 2013 · Grubwinkler, Stefan et al. · indexed
998. Traffic Flow Prediction With Big Data: A Deep Learning Approach ↗ · 2014 · Lv, Yisheng et al. · indexed
999. Development and evaluation of bidirectional LSTM freeway traffic forecasting models using simulation data ↗ · 2021 · Abduljabbar, Rusul L. et al. · indexed
1000. Travel cost inference from sparse, spatio temporally correlated time series using Markov models ↗ · 2013 · Yang, Bin et al. · indexed
1001. By train or by car? Detecting the user's motion type through smartphone sensors data · 2012 · Bedogni, Luca et al. · archived
1002. DSER-TTE: Driving Style Enhanced En Route Travel Time Estimation via Attentional Network ↗ · 2025 · Dong, Yingzhuo et al. · indexed
1003. Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks ↗ · 2017 · Xu, Jun et al. · indexed
1004. Predictive routing for autonomous mobility-on-demand systems with ride-sharing ↗ · 2017 · Alonso–Mora, Javier et al. · indexed
1005. A Novel Closed-Loop System for Vehicle Speed Prediction Based on APSO LSSVM and BP NN ↗ · 2021 · Guo, Xiaokai et al. · indexed
1006. Application of Long Short Term Memory Networks for Long- and Short-term Bus Travel Time Prediction ↗ · 2021 · Osman, Osama et al. · indexed
1007. Car Safety System Using Fuzzy Logic ↗ · 2008 · Al-Hadidi, Mazin et al. · indexed
1008. Machine Learning Solutions to Vehicular Traffic Congestion ↗ · 2018 · Chhatpar, Pavan et al. · indexed
1009. Study Estimating hourly traffic flow using Artificial Neural Network: A M25 motorway case · 2023 · Turki, Ahmed Ibrahim et al. · archived
1010. A Predictive Supervised Learning Architecture for Automated Vehicle–Railway Bridge Collision Detection, Monitoring, and Safety Optimization ↗ · 2026 · Santos, Dr. Miguel · indexed
1011. <scp>DeepBus</scp>: Machine learning based real time pothole detection system for smart transportation using <scp>IoT</scp> ↗ · 2020 · Bansal, Kashish et al. · indexed
1012. Travel-Time Prediction With Support Vector Regression ↗ · 2004 · Wu, C.-H. et al. · indexed
1013. An attention-based recurrent learning model for short-term travel time prediction. ↗ · 2022 · Chughtai, Jawad-Ur-Rehman et al. · indexed
1014. Snaps - SmartDrive: Drowsiness &amp; Accident Detection ↗ · 2025 · Mishra, Shivam et al. · indexed
1015. LiDAR-Based Predictive Cruise Control ↗ · 2020 · Alzu'bi, Hamzeh et al. · indexed
1016. An Embedded Machine Learning Based Road Conditions and Driving Behavior Monitoring System ↗ · 2023 · Mosleh, Bayan et al. · indexed
1017. Smartphone-Based Pavement Roughness Estimation Using Deep Learning with Entity Embedding ↗ · 2020 · Aboah, Armstrong et al. · indexed
1018. Map stream: Initializing what-if analyses for real-time symbiotic traffic simulations · 2014 · Sunderrajan, Abhinav et al. · archived
1019. Risk analysis of bridge ship collision based on AIS data model and nonlinear finite element ↗ · 2023 · Zhao, Canglong et al. · indexed
1020. An Improved Bayesian Combination Model for Short-Term Traffic Prediction With Deep Learning ↗ · 2019 · Gu, Yuanli et al. · indexed
1021. A Comparison of Machine Learning Methods for the Prediction of Traffic Speed in Urban Places ↗ · 2019 · Bratsas, Charalampos et al. · indexed
1022. The applied research of Kalman in the dynamic travel time prediction ↗ · 2010 · Ji, Huifeng et al. · indexed
1023. PENERAPAN ALGORITMA DECISION TREE PADA WEBSITE ANALISIS PROFILE TRUCK DRIVER BERBASIS AI ↗ · 2025 · Safiq Alfiansyah, Nanda et al. · indexed
1024. Probabilistic associative learning of vessel motion patterns at multiple spatial scales for maritime situation awareness ↗ · 2007 · Rhodes, Bradley J. et al. · indexed
1025. Application of the ARIMA Models to Urban Roadway Travel Time Prediction - A Case Study ↗ · 2006 · Billings, Daniel et al. · indexed
1026. The Term Structure of Crash Insurance and Equity Return Predictability ↗ · 2026 · Choi, Youngmin · indexed
1027. FAFGAN: A Fuzzy-Aware Fuel Generative Adversarial Network Approach to Road-level Fuel Estimation Considering Drive-style ↗ · 2026 · Qian, Yu et al. · indexed
1028. Novel road classifications for large scale traffic networks ↗ · 2010 · Toplak, Werner et al. · indexed
1029. Predicting Homebound Status in US Older Adults Using Data From the National Health and Aging Trends Study ↗ · 2025 · Davoudi, Anis et al. · indexed
1030. CRAWLING: a crowdsourcing algorithm on wheels for smart parking ↗ · 2023 · Garrabé, Émiland et al. · indexed
1031. Research method of vehicle rollover mechanism under critical instability condition ↗ · 2019 · Li, Bo et al. · indexed
1032. Pothole Detection System using Machine Learning on Android ↗ · 2014 · Kulkarni, Aniket et al. · indexed
1033. An unsupervised cross project model for crashing fault residence identification ↗ · 2022 · Liu, Xiao et al. · indexed
1034. Field-Based Prediction Models for Stop Penalty in Traffic Signal Timing Optimization ↗ · 2021 · Alshayeb, Suhaib et al. · indexed
1035. Highway traffic flow prediction using support vector regression and Bayesian classifier ↗ · 2016 · Ahn, Jinyoung et al. · indexed
1036. Predicting crack evolution for small- and medium-span beam bridges using XGBoost–SHAP model ↗ · 2026 · Liang, Dong et al. · indexed
1037. A new procedure for misbehavior detection in vehicular ad-hoc networks using machine learning ↗ · 2021 · Sonker, Abhilash et al. · indexed
1038. A Neural Network Based Traffic-Flow Prediction Model ↗ · 2010 · Çetiner, B. Gültekin et al. · indexed
1039. Prediction of Front TTI in NHTSA Side Impact Using a Regression-Based Approach ↗ · 2000 · Deb, Anindya et al. · indexed
1040. Probabilistic Short-Term Solar Driver Forecasting with Neural Network Ensembles ↗ · 2023 · Daniell, Joshua D et al. · indexed
1041. The Shrewd Provoke of DATA Analytics in Automotive Industry ↗ · 2022 · Samaskani, Samsudeen S · indexed
1042. Car Price Prediction using Machine Learning Techniques · 2019 · Gegic, Enis et al. · archived
1043. Sentiment Analysis for Driver Selection in Fuzzy Capacitated Vehicle Routing Problem With Simultaneous Pick-Up and Drop in Shared Transportation ↗ · 2021 · Gupta, Pankaj et al. · indexed
1044. Four-Wheeled Vehicle Sideslip Angle Estimation: A Machine Learning-Based Technique for Real-Time Virtual Sensor Development ↗ · 2024 · Napolitano Dell’Annunziata, Guido et al. · indexed
1045. DASK: Driving-Assisted Secret Key Establishment ↗ · 2022 · Yang, Edwin et al. · indexed
1046. Travel Time Prediction for Urban Networks: the Comparisons of Simulation-based and Time-Series Models ↗ · 2010 · Hu, Ta‐Yin et al. · indexed
1047. Short-Term Traffic Flow Forecasting by Selecting Appropriate Predictions Based on Pattern Matching ↗ · 2018 · Ma, Dongfang et al. · indexed
1048. Pivot point estimation based advanced ship predictor evaluation with vessel maneuvers under sea trial conditions ↗ · 2025 · Wang, Yufei et al. · indexed
1049. Performance Improvement of Traffic Flow Prediction Model using Combination of Support Vector Machine and Rough Set · 2017 · Deshpande, Minal et al. · archived
1050. Uncertainty-Aware Reinforcement Learning for Collision Avoidance · 2017 · Kahn, Gregory et al. · archived
1051. High-Temperature Weather Conditions-Based Risk Situation Awareness for Distribution Networks ↗ · 2026 · Liu, Zhuangli et al. · indexed
1052. Real-Time Vehicle Roll Angle Estimation Based on Neural Networks in IoT Low-Cost Devices · 2018 · Guzmán, Javier García et al. · archived
1053. Risk analysis of maritime accidents along the main route of the Maritime Silk Road: a Bayesian network approach ↗ · 2020 · Jiang, Meizhi et al. · indexed
1054. A Framework for Passengers Demand Prediction and Recommendation ↗ · 2016 · Zhang, Kai et al. · indexed
1055. A multi-level clustering approach for forecasting taxi travel demand ↗ · 2016 · Davis, Neema et al. · indexed
1056. ETA Prediction with Graph Neural Networks in Google Maps · 2021 · Derrow-Pinion, Austin et al. · archived
1057. Unsupervised Trajectory Anomaly Detection for Situation Awareness in Maritime Navigation ↗ · 2020 · Murray, Brian et al. · indexed
1058. Optimization of Traffic Signal Offsets with High Resolution Event Data ↗ · 2019 · Day, Christopher M. et al. · indexed
1059. Traffic Flow Prediction for Smart Traffic Lights Using Machine Learning Algorithms ↗ · 2022 · Navarro-Espinoza, Alfonso et al. · indexed
1060. Learning-Based Cooperative Adaptive Cruise Control ↗ · 2021 · Mirwald, Jonas et al. · indexed
1061. Predicting the travel time of arterial traffic using particle filter with speed matrix · 2018 · Qiangrong, Yang et al. · archived
1062. A novel framework of leveraging large scale trajectories for route choice modelling ↗ · 2023 · Advani, Chintan · indexed
1063. Predicting hospital admissions from individual patient data (IPD): an applied example to explore key elements driving external validity ↗ · 2021 · Perera, Rafael et al. · indexed
1064. A unified framework for joint mobility prediction and object profiling of drones in UAV networks · 2018 · Han, Peng et al. · archived
1065. Effect of traffic data set on various machine-learning algorithms when forecasting air quality ↗ · 2022 · Sulaimon, Ismail Abiodun et al. · indexed
1066. Data-driven transfer learning framework for estimating on-ramp and off-ramp traffic flows ↗ · 2025 · Ma, Xiaobo et al. · indexed
1067. An Automated Framework for Deriving Intersection Coordination Plans ↗ · 2021 · Mahajan, Dhruv et al. · indexed
1068. Comparison of different hyperparameter optimization methods on driving behavior recognition · 2024 · David, Ruth et al. · archived
1069. RETRACTED: Enhancing prediction and analysis of UK road traffic accident severity using AI: Integration of machine learning, econometric techniques, and time series forecasting in public health research ↗ · 2024 · Sufian, Md Abu et al. · indexed
1070. Gap, techniques and evaluation: traffic flow prediction using machine learning and deep learning ↗ · 2021 · Razali, Noor Afiza Mat et al. · indexed
1071. A combined method for short-term traffic flow prediction based on recurrent neural network ↗ · 2020 · Lu, Saiqun et al. · indexed
1072. Prediction and Privacy Scheme for Traffic Flow Estimation on the Highway Road Network ↗ · 2022 · Akallouch, Mohammed et al. · indexed
1073. Targeting Sustainable Transportation Development: The Support Vector Machine and the Bayesian Optimization Algorithm for Classifying Household Vehicle Ownership ↗ · 2022 · Xu, Zhiqiang et al. · indexed
1074. Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning ↗ · 2019 · Zhang, Weibin et al. · indexed
1075. Explainable boosting machine for predicting claim severity and frequency in car insurance ↗ · 2026 · Krúpová, Markéta et al. · indexed
1076. DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision ↗ · 2018 · Zhang, Hanyuan et al. · indexed
1077. Optimal deep neural network based road traffic management system for Internet of Things based smart city environment. · 2026 · Almejalli, KA · archived
1078. Scalable Traffic Flow Forecasting Using Floating Car Data, Clustering, and Deep Learning Models ↗ · 2026 · Oliveira, Thamires de Souza et al. · indexed
1079. A-BERF: Action-Weighted Ensemble by Bootstrapping Extremely Randomized Forest for Pre-Crash Moral Decision-Making in Autonomous Driving ↗ · 2023 · Yang, Jin Ho et al. · indexed
1080. Big Data Analytics in Intelligent Transportation Systems: A Survey ↗ · 2018 · Zhu, Li et al. · indexed
1081. Efficient Multi-Step Prediction Model That Considers the Influence of Spatial and Temporal Factors on Ride-Hailing Demand ↗ · 2024 · Ai, WenHuan et al. · indexed
1082. TrafficGAN: Network-Scale Deep Traffic Prediction With Generative Adversarial Nets ↗ · 2019 · Zhang, Yuxuan et al. · indexed
1083. Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction ↗ · 2017 · Ma, Xiaolei et al. · indexed
1084. Multi-Purpose, Multi-Step Deep Learning Framework for Network-Level Traffic Flow Prediction ↗ · 2022 · Shoman, Maged et al. · indexed
1085. Systematic Development of Intelligent Systems for Public Road Transport ↗ · 2016 · García, Carmelo et al. · indexed
1086. Short-term traffic flow prediction with LSTM recurrent neural network ↗ · 2017 · Kang, Danqing et al. · indexed
1087. Spatial prediction of landslides for the Wanzhou District (China) applying a hybrid intelligent method based on random forest and cluster algorithms ↗ · 2020 · Guo, Zizheng et al. · indexed
1088. Risk Assessment of Obstacle Collision for UAVs under off-nominal conditions · 2020 · Banerjee, Portia et al. · archived
1089. Fast map matching, an algorithm integrating hidden Markov model with precomputation ↗ · 2017 · Yang, Can et al. · indexed
1090. Self-Supervised Learning for Vehicle Noise Prediction With Limited Labeled Data ↗ · 2025 · Hwang, Sunhyeok et al. · indexed
1091. Intelligent condition prediction model for bridge infrastructure based on evaluating machine learning algorithms ↗ · 2024 · Abu Dabous, Saleh et al. · indexed
1092. Boruta-grid-search least square support vector machine for NO₂ pollution prediction using big data analytics and IoT emission sensors ↗ · 2021 · Balogun, Habeeb et al. · indexed
1093. A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability ↗ · 2021 · Ullah, Irfan et al. · indexed
1094. A basic neural traffic noise prediction model for Tehran’s roads ↗ · 2010 · Givargis, Sh. et al. · indexed
1095. Calculation on ship-bridge collision risk of Kunzi model based on ship domain ↗ · 2021 · Chen, De-Jun et al. · indexed
1096. Adaptive Multi-Kernel SVM With Spatial–Temporal Correlation for Short-Term Traffic Flow Prediction ↗ · 2018 · Feng, Xinxin et al. · indexed
1097. Prediction of Pavement Overall Condition Index Based on Wrapper Feature-Selection Techniques Using Municipal Pavement Data ↗ · 2023 · Adesunkanmi, Rahmat et al. · indexed
1098. An Improved K-nearest Neighbor Model for Short-term Traffic Flow Prediction ↗ · 2013 · Zhang, Lun et al. · indexed
1099. Assessing the Performance of Random Forests for Modeling Claim Severity in Collision Car Insurance ↗ · 2021 · Staudt, Yves et al. · indexed
1100. Flying to the Cruise-Port in Miami: Predicting Passenger Satisfaction in Cruise-Linked Air Travel Using Machine Learning ↗ · 2026 · Nguyen, Minh · indexed
1101. A Statistical and Machine Learning Analysis of the Significant Features of PPPoE Sessions for Quality Monitoring ↗ · 2025 · Zhunussov, Ayan et al. · indexed
1102. A hybrid forecasting framework based on support vector regression with a modified genetic algorithm and a random forest for traffic flow prediction · 2018 · Zhang, Lizong et al. · archived
1103. CRF-based semantic labeling in miniaturized road scenes ↗ · 2014 · Passani, Mario et al. · indexed
1104. Train Driving Data Learning with S-CNN Model for Gear Prediction and Optimal Driving ↗ · 2019 · Huang, Jin et al. · indexed
1105. Inference of Pattern Variation of Taxi Ridership Using Deep Learning Methods: A Case Study of New York City ↗ · 2018 · Najafabadi, Shirin et al. · indexed
1106. Maintenance system of semi-trailer and risk priority number · 2019 · Barta, Dalibor et al. · archived
1107. Short-Term Traffic Forecasting: An LSTM Network for Spatial-Temporal Speed Prediction ↗ · 2021 · Abduljabbar, Rusul et al. · indexed
1108. Methodology for Dynamic Data-Driven Online Flight Capability Estimation ↗ · 2015 · Lecerf, Marc et al. · indexed
1109. Vehicle Delay Estimation at Signalized Intersections Using Machine Learning Algorithms ↗ · 2021 · Bagdatli, Muhammed Emin Cihangir et al. · indexed
1110. Short-Term Traffic Flow Prediction Based on Graph Convolutional Networks and Federated Learning ↗ · 2022 · Xia, Mengran et al. · indexed
1111. Matching Traffic Lights to Routes for Real-World Deployments of Mobile GLOSA Apps ↗ · 2022 · Matthes, Philipp et al. · indexed
1112. Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning ↗ · 2014 · Huang, Wenhao et al. · indexed
1113. Application of Artificial Neural Networks in Vehicles’ Design Self-Diagnostic Systems for Safety Reasons ↗ · 2017 · Yurii, Katsuba et al. · indexed
1114. Construction of an early warning model for imported dengue fever: a multi-fusion machine learning approach ↗ · 2026 · ZHAO, Jie et al. · indexed
1115. One-month beijing taxi GPS trajectory dataset with taxi IDs and vehicle status ↗ · 2018 · Lian, Jing et al. · indexed
1116. Spatio-temporal characterisation and compensation method based on CNN and LSTM for residential travel data ↗ · 2024 · Alhudhaif, Adi et al. · indexed
1117. Data mining and volcanic eruption forcasting ↗ · 2026 · Boué, Anaïs · indexed
1118. Parametric Predictions for Pure Electric Vehicles ↗ · 2021 · Adedeji, Bukola Peter · indexed
1119. Algorithm of Ship–Bridge Collision Risk Considering Ship’s Dimension ↗ · 2022 · Liu, Yihua et al. · indexed
1120. A Federated Learning Approach for Efficient Anomaly Detection in Electric Power Steering Systems ↗ · 2024 · Kea, Kimleang et al. · indexed
1121. Two-Stream Networks for COPERT Correction Model with Time-Frequency Features Fusion ↗ · 2023 · Xu, Zhenyi et al. · indexed
1122. LSTM network: a deep learning approach for short‐term traffic forecast ↗ · 2017 · Zhao, Zheng et al. · indexed
1123. The Helcyon Score: A Methodology for Operational Business Health ↗ · 2026 · Swid, Lukas · indexed
1124. AI for biological discovery: data integration and self-driving instruments ↗ · 2019 · Murphy, Robert · indexed
1125. An Innovative Service for Electric Vehicle Energy Demand Prediction ↗ · 2020 · Fanti, Maria Pia et al. · indexed
1126. A Sequence-Based Hybrid Ensemble Approach for Estimating Trail Pavement Roughness Using Smartphone and Bicycle Data ↗ · 2024 · Alatoom, Yazan Ibrahim et al. · indexed
1127. Ethical Decision-Making Platform in Autonomous Vehicles With Lexicographic Optimization Based Model Predictive Controller ↗ · 2020 · Wang, Hong et al. · indexed
1128. Predictive Modeling of Urban Travel Demand Using Neural Networks and Regression Analysis ↗ · 2025 · Çolak, Muhammed Ali et al. · indexed
1129. Prediction of travel time for railway traffic management by using the AdaBoost algorithm · 2022 · AKÇAY, Mehmet Taciddin et al. · archived
1130. Identification of Bridge Key Performance Indicators Using Survival Analysis for Future Network-Wide Structural Health Monitoring ↗ · 2020 · Stevens, Nicola-Ann et al. · indexed
1131. Applying Hybrid Lstm-Gru Model Based on Heterogeneous Data Sources for Traffic Speed Prediction in Urban Areas ↗ · 2022 · Zafar, Noureen et al. · indexed
1132. Application of Gaussian Noise for Increased Robustness in Deep Learning Models for Trajectory Prediction in Autonomous Driving ↗ · 2025 · Petkar, Raj et al. · indexed
1133. Autonomous Short-Term Traffic Flow Prediction Using Pelican Optimization with Hybrid Deep Belief Network in Smart Cities ↗ · 2022 · Mohammed, Gouse Pasha et al. · indexed
1134. Combining weather condition data to predict traffic flow: a GRU‐based deep learning approach ↗ · 2018 · Zhang, Da et al. · indexed
1135. Study on the bridge-waters area ship safety collision avoidance navigation system ↗ · 2018 · Du, Dianhu · indexed
1136. Reinforcement Learning-designed LSTM for Trajectory and Traffic Flow Prediction ↗ · 2021 · Karimzadeh, Mostafa et al. · indexed
1137. Construction and Application of Mumps Incidence Situation Awareness and Risk Early Warming Model Based on LSTM Algorithm ↗ · 2023 · Tang, Rong et al. · indexed
1138. Intelligent Asset Management for Improved Mobility: Technology Transfer for South Carolina · 2024 · Ziehl, Paul et al. · archived
1139. Particle swarm optimization-based collision avoidance · 2019 · İNAN, Timur et al. · archived
1140. Weakly Supervised Learning for Evaluating Road Surface Condition from Wheelchair Driving Data ↗ · 2019 · Watanabe, Takumi et al. · indexed
1141. D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction ↗ · 2019 · Saxena, Divya et al. · indexed
1142. A Deep Learning based Virtual Sensor for Vehicle Sideslip Angle Estimation: Experimental Results ↗ · 2018 · Ghosh, Jyotishman et al. · indexed
1143. Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm ↗ · 2011 · Chan, Kit Yan et al. · indexed
1144. Enhancing Traffic Accident Severity Prediction Using ResNet and SHAP for Interpretability ↗ · 2024 · Benfaress, Ilyass et al. · indexed
1145. An Automated Assessment Technique for Pavement Defects Using a Laser Scanner and Deep Machine Learning · 2025 · Al-Mistarehi, Bara' et al. · archived
1146. Energy parameter modeling in plug-in hybrid electric vehicles using supervised machine learning approaches ↗ · 2024 · Adedeji, Bukola Peter · indexed
1147. A risk evaluation model for channel navigation based on the gray-fuzzy theory ↗ · 2018 · Wang, Yanfeng et al. · indexed
1148. Network traffic analysis and bandwidth forecasting for using Meta’s Prophet: a case study · 2026 · Isaac, Yusuf Onimisi et al. · archived
1149. An Innovative Landslide Risk Assessment System: Application to Highway Embankments ↗ · 2011 · Pantelidis, L. · indexed
1150. Adaptive Spatio-Temporal Federated Learning for Traffic Flow Prediction: Framework and Aggregation Approaches Evaluation ↗ · 2026 · Alsehaimi, Basma et al. · indexed
1151. Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks ↗ · 2020 · Zhang, Yingxue et al. · indexed
1152. Physics-informed AI with chemical master equation dynamics for driver-gene subclone detection and risk labeling ↗ · 2025 · Atitey, Komlan et al. · indexed
1153. Systematic review of critical drivers for delay risk prediction: towards a conceptual framework for BIM-based construction projects ↗ · 2022 · Egwim, Christian et al. · indexed
1154. Track Pairs Collision Detection with Applications to Ship Collision Risk Assessment ↗ · 2022 · Shi, Jiahui et al. · indexed
1155. Predicting urban vitality and pedestrian road safety in urban areas based on machine learning ↗ · 2025 · Qiao, Weijie et al. · indexed
1156. Vehicle Occupant Posture Classification System using Seat Pressure Sensor for Intelligent Airbag ↗ · 2009 · Zhenhai, Gao et al. · indexed
1157. Real-Time Data Cleaning in Traffic Sensor Networks ↗ · 2020 · Bachechi, Chiara et al. · indexed
1158. A Novel Approach to Find the Revising and Launching Automobile Type ↗ · 2008 · Lin, Jie et al. · indexed
1159. Evaluation of forest road network planning in landslide sensitive areas by GIS-based multi-criteria decision making approaches in Ihsangazi watershed, Northern Turkey Procjena planiranja mreža šumskih putova u osjetljivim klizištima pomoću GIS baziranih multikriterijskih pristupa odlučivanju na Ihsangazi vododjelnici, Sjeverna Turska · 2019 · Bugday, Ender et al. · archived
1160. 4D Track Prediction of Aircraft Based on Improved Sliding Window Polynomial Fitting Method ↗ · 2019 · Jianxiang, Zhang et al. · indexed
1161. Real-Time Traffic Speed Estimation With Graph Convolutional Generative Autoencoder ↗ · 2019 · Yu, James Jian Qiao et al. · indexed
1162. driveR: a novel method for prioritizing cancer driver genes using somatic genomics data ↗ · 2021 · Ülgen, Ege et al. · indexed
1163. Surrogate Modeling Approach to Support Real-Time Structural Assessment and Decision Making ↗ · 2015 · Mainini, L. et al. · indexed
1164. driveR: A Novel Method for Prioritizing Cancer Driver Genes Using Somatic Genomics Data ↗ · 2020 · Ülgen, Ege et al. · indexed
1165. Hybrid Model Based on an SD Selection, CEEMDAN, and Deep Learning for Short-Term Load Forecasting of an Electric Vehicle Fleet ↗ · 2022 · Mohsenimanesh, Ahmad et al. · indexed
1166. SOLUTIONS FOR REDUCING THE AIR POLLUTION GENERATED BY VEHICLE ↗ · 2024 · Gingarasu, Mihai et al. · indexed
1167. Parsimonious Random-Forest-Based Land-Use Regression Model Using Particulate Matter Sensors in Berlin, Germany ↗ · 2024 · Jagatha, Janani Venkatraman et al. · indexed
1168. LOTUS: a Single- and Multitask Machine Learning Algorithm for the Prediction of Cancer Driver Genes ↗ · 2018 · Collier, Olivier et al. · indexed
1169. Hybrid machine learning and optimisation method to solve a tri‐level road network protection problem ↗ · 2018 · Kaviani, Arash et al. · indexed
1170. Finite element model for partial differential equations in optimization of vehicle safety collision problem ↗ · 2024 · Zhang, Min · indexed
1171. Garbage In, Garbage Out? The Impact of Data Quality on the Performance of Financial Distress Prediction Models ↗ · 2026 · Labosova, Veronika et al. · indexed
1172. Landslide susceptibility mapping in the Loess Plateau of northwest China using three data-driven techniques-a case study from middle Yellow River catchment ↗ · 2023 · Guo, Zizheng et al. · indexed
1173. Remote Black Box ↗ · 2011 · Sriram, Srinath · indexed
1174. Comparative analysis of used car price evaluation models ↗ · 2017 · Chen, Chuancan et al. · indexed
1175. From Periodic Review to Continuous Vigilance: A Framework for Real-Time, AI-driven Credit Risk Monitoring ↗ · 2026 · Johnson, Barnty · indexed
1176. Incorporation of Deep Kernel Convolution into Density Clustering for Shipping AIS Data Denoising and Reconstruction ↗ · 2022 · Zhang, Jufu et al. · indexed
1177. Situation Awareness System in a Maritime Port ↗ · 2006 · Tan, Tele et al. · indexed
1178. ML-based anomaly detection for streaming pipelines: an empirical benchmark with cross-workload generalization on Apache Kafka and Flink ↗ · 2026 · Anjum, Mateen Ali · indexed
1179. Feature Selection and Estimation of Route and Gait During Walking with Route and Speed Changes by Surface Electromyograph Using Transformer ↗ · 2024 · Nozawa, Naoki et al. · indexed
1180. Risk analysis in cyber situation awareness using Bayesian approach ↗ · 2015 · Bode, Moyinoluwa Abidemi et al. · indexed
1181. Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids ↗ · 2025 · Balada, Christoph et al. · indexed
1182. Smart public transport system ↗ · 2014 · John, Rose Mary et al. · indexed
1183. Developing a chaotic pattern of dynamic Hazmat routing problem ↗ · 2013 · Mahmoudabadi, Abbas et al. · indexed
1184. Multi-station Multivariate Multi-step Convection Nowcasting with Deep Neural Networks ↗ · 2022 · Chkeir, Sandy et al. · indexed
1185. Research on information aggregation methods of electric equipment state monitoring based on data driver ↗ · 2016 · Yang, Bai et al. · indexed
1186. Preferential Bayesian Optimization With Crash Feedback ↗ · 2026 · Menn, Johanna et al. · indexed
1187. Machine Learning-Driven Prediction of EV Charging Behavior for Renewable and Grid Optimization ↗ · 2026 · Almomani, Omar et al. · indexed
1188. Missing data imputation for traffic flow based on combination of fuzzy neural network and rough set theory ↗ · 2020 · Tang, Jinjun et al. · indexed
1189. A Real-Time Network Traffic Classifier for Online Applications Using Machine Learning ↗ · 2021 · Ahmed, Ahmed Abdelmoamen et al. · indexed
1190. Time series forecasting model of future spectrum demands for mobile broadband networks in Malaysia, Turkey, and Oman ↗ · 2022 · Shayea, Ibraheem et al. · indexed
1191. Convolutional Neural Network-Based Approximation of Coverage Path Planning Results for Parking Lots ↗ · 2023 · Kriščiūnas, Andrius et al. · indexed
1192. Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting ↗ · 2024 · Liu, Qingxiang et al. · indexed
1193. Artificial Intelligence-Based Secure Communication and Classification for Drone-Enabled Emergency Monitoring Systems ↗ · 2022 · Alrayes, Fatma S. et al. · indexed
1194. Prediction of Unpaved Road Conditions Using High-Resolution Optical Satellite Imagery and Machine Learning ↗ · 2023 · Workman, Robin et al. · indexed
1195. A Hybrid Prediction Method for Realistic Network Traffic With Temporal Convolutional Network and LSTM ↗ · 2021 · Bi, Jing et al. · indexed
1196. Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework ↗ · 2016 · Wu, Yuankai et al. · indexed
1197. Fuzzy Risk Evaluation and Collision Avoidance Control of Unmanned Surface Vessels ↗ · 2021 · Chen, Yung-Yue et al. · indexed
1198. Methods for modeling degradation of electrical engineering components for lifetime prognosis ↗ · 2026 · Al Haddad, Andrea · indexed
1199. Spatio-temporal nowcasting of local severe weather events with deep neural networks · 2022 · Chkeir, Sandy et al. · archived
1200. Estimating electromyography responses using an adaptive neuro‐fuzzy inference system with subtractive clustering ↗ · 2017 · Çakıt, Erman et al. · indexed
1201. Identifying the driving mechanisms of ecological environment risk in the Mongolian plateau: A study based on the XGBoost–SHAP model and GTWR ↗ · 2026 · Zhang, Yu et al. · indexed
1202. Risk assessment of maritime supply chains within the context of the Maritime Silk Road ↗ · 2023 · Jiang, Meizhi et al. · indexed
1203. Blockchain-Based Federated Learning for Intelligent Control in Heavy Haul Railway ↗ · 2020 · Hua, Gaofeng et al. · indexed
1204. Short-Term Traffic Flow Forecasting Method With M-B-LSTM Hybrid Network ↗ · 2020 · Zhaowei, Qu et al. · indexed
1205. Spatial Origin-Destination Flow Imputation Using Graph Convolutional Networks ↗ · 2020 · Yao, Xin et al. · indexed
1206. A feedforward deep neural network for predicting the state-of-charge of lithium-ion battery in electric vehicles ↗ · 2023 · Adedeji, Bukola Peter et al. · indexed
1207. Prediction of prices for used car by using regression models ↗ · 2018 · Monburinon, Nitis et al. · indexed
1208. Real-Time Dynamic Transit Signal Priority Optimization for Coordinated Traffic Networks Using Genetic Algorithms and Artificial Neural Networks ↗ · 2014 · Ghanim, Mohammad et al. · indexed
1209. Explainable Aircraft Crash Severity Prediction Using XGBoost and SHAP ↗ · 2025 · Benfaress, Ilyass et al. · indexed
1210. Comparative Application of Radial Basis Function and Multilayer Perceptron Neural Networks to Predict Traffic Noise Pollution in Tehran Roads · 2018 · Mansourkhaki, Ali et al. · archived
1211. DriverMEDS: Cancer driver gene identification using mutual exclusivity from embeded features and driver mutation scoring ↗ · 2025 · Yi, Sichen et al. · indexed
1212. Source apportionment and stochastic evaluation of soil contamination and human health risks of potentially toxic elements in Nangodi, northern Ghana ↗ · 2026 · Sagoe, Samuel Dzidefo et al. · indexed
1213. Enhancing Reverse Geocoding With Weather Data: Modeling Human Check‐In Behavior in California and New York for Smart Cities ↗ · 2025 · Sabzali Yameqani, Ali et al. · indexed
1214. STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting ↗ · 2019 · Bai, Lei et al. · indexed
1215. Improved LSTM Based on Attention Mechanism for Short-term Traffic Flow Prediction ↗ · 2020 · Chen, Dejun et al. · indexed
1216. Mechanism Without Edge: The Options Crash-Insurance Premium Across Five Asset Classes ↗ · 2026 · Ahmed, Shehzad · indexed
1217. A Prediction-Based Solution for Improving the Performance of CSMA/CA Networks Under the Hidden Collision Effect ↗ · 2015 · Sebgui, Marouane et al. · indexed
1218. Towards Better Predictive Models: The Role of Density in Pedestrian Trajectory Predictions ↗ · 2024 · Korbmacher, Raphael et al. · indexed
1219. Integrated Driver Monitoring and Real-Time Accident Detection System using IoT and Computer Vision ↗ · 2025 · K, Vivekrabinson et al. · indexed
1220. A fast and scalable crowd sensing based trajectory tracking system ↗ · 2017 · Kulshrestha, Tarun et al. · indexed
1221. A Physics-Informed Multimodal Deep Learning Framework for City-Scale Air-Quality and Health-Risk Prediction ↗ · 2026 · Alhawiti, Khaled M. · indexed
1222. Forecasting Stock Market Crashes is Hard--Especially Future Ones: Can Option Prices Help? ↗ · 2014 · Engstrom, Eric · indexed
1223. Relational Fusion Networks: Graph Convolutional Networks for Road Networks ↗ · 2020 · Jepsen, Tobias Skovgaard et al. · indexed
1224. IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK ALGORITHM ON VEHICLE REGISTRATION DATA ↗ · 2019 · DESAI, P.Y. · indexed
1225. Characterization and nowcasting of severe weather events over Milano Malpensa ↗ · 2022 · Anesiadou, Aikaterini et al. · indexed
1226. Intelligence Collision Detection Using a Combination of Tuning Base Methods and Convolutional Long Short Term Memory Models ↗ · 2026 · Hilfi, Mohammed et al. · indexed
1227. Landslide Susceptibility Assessment for Cameron Highlands using Analytical Hierarchy Process ↗ · 2019 · Hanafiah*, Muhammad Izzat Mohd et al. · indexed
1228. Battery Parameter Estimation from Recorded Fleet Data ↗ · 2016 · Arvidsson, Rickard et al. · indexed
1229. A Review of Machine Learning and IoT in Smart Transportation ↗ · 2019 · Zantalis, Fotios et al. · indexed
1230. An Innovative Approach to 3D Fracture Modeling ↗ · 2012 · Al-Azri, Saud et al. · indexed
1231. Price evaluation model in second-hand car system based on BP neural network theory ↗ · 2017 · Sun, Ning et al. · indexed
1232. Development of Crash Avoidance Technology for Turbo-molecular Pumps ↗ · 2022 · Chiu, Hsin-Lin · indexed
1233. Commodity Price Crash Risk and Crash Risk Contagion ↗ · 2025 · Jain, Prachi et al. · indexed
1234. Determining Time-Varying Drivers of Spot Oil Price in a Dynamic Model Averaging Framework ↗ · 2018 · Drachal, Krzysztof · indexed
1235. FedStream: A Federated Learning Framework on Heterogeneous Streaming Data for Next-Generation Traffic Analysis ↗ · 2023 · Wang, Naiyu et al. · indexed
1236. Electric vehicles survey and a multifunctional artificial neural network for predicting energy consumption in all-electric vehicles ↗ · 2023 · Adedeji, Bukola Peter · indexed
1237. Investigating the influential factors in real-world energy consumption of battery electric vehicles ↗ · 2023 · Janpoom, Kittitat et al. · indexed
1238. Machine Learning Prediction of a Battery’s Thermal-Related Health Factor in a Battery Electric Vehicle Using Real-World Driving Data ↗ · 2024 · Sukkam, Natthida et al. · indexed
1239. Metaheuristic Optimization for Enhancing Performance of Predictive Vehicle Control Delay Estimation Model ↗ · 2025 · Ranpura, Pranjal et al. · indexed
1240. An Ensemble Intrusion Detection Technique Based on Proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things ↗ · 2018 · Moustafa, Nour et al. · indexed
1241. Rider Optimization With Deep Learning Based Image Encryption for Secure Drone Communication · 2023 · Raja, N. Kannaiya et al. · archived
1242. Three-dimensional rockfall modeling in GRASS GIS with r.stone ↗ · 2026 · Alvioli, Massimiliano et al. · indexed
1243. FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting ↗ · 2021 · Zhang, Chenhan et al. · indexed
1244. Missing Traffic Data Imputation for Artificial Intelligence in Intelligent Transportation Systems: Review of Methods, Limitations, and Challenges ↗ · 2023 · Chan, Robin Kuok Cheong et al. · indexed
1245. Multi-Stage Pedestrian Positioning Using Filtered WiFi Scanner Data in an Urban Road Environment ↗ · 2020 · Huang, Zilin et al. · indexed
1246. Weighing method for a truck scale based on optional neural network with penalty function ↗ · 2016 · Lin, Haijun et al. · indexed
1247. Comparative Analysis of Parametric and Neural Network Models for Rural Highway Traffic Volume Prediction ↗ · 2025 · Al-Turki, Mohammed · indexed
1248. Detecting P2P botnets through network behavior analysis and machine learning ↗ · 2011 · Saad, Sherif et al. · indexed
1249. Feature Selection Approach for Improving the Accuracy of Software Bug Prediction ↗ · 2019 · Emad Kaen and Abdullah Algarni, Emad Kaen and Abdullah Algarni · indexed
1250. Betting on sparsity : leveraging hidden linear features through regularisation for supervised learning ↗ · 2026 · Follain, Bertille · indexed
1251. Power Quality Situation Awareness in Distribution Station Area Based on Data Mining ↗ · 2021 · Yang, Shiyu et al. · indexed
1252. Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting ↗ · 2019 · Geng, Xu et al. · indexed
1253. Discovering cancer driver genes and pathways using stochastic block model graph neural networks ↗ · 2021 · Fanfani, Viola et al. · indexed
1254. Machine Learning Models for Traffic Prediction on Arterial Roads Using Traffic Features and Weather Information ↗ · 2024 · Abduljabbar, Rusul et al. · indexed
1255. Machine Learning-Enhanced Risk-Based Inspection Using XGBoost/LightGBM for Mechanical Integrity Management in Nigerian Oil and Gas Facilities ↗ · 2026 · Alao, E. F. et al. · indexed
1256. Deep Neural Network-based lap time forecasting of Formula 1 Racing ↗ · 2024 · Zhao, Zhixuan · indexed
1257. Short-term load forecasting method based on deep learning under digital driving ↗ · 2022 · Xiong, Guojun et al. · indexed
1258. Quantitative mapping and predictive modeling of Mn nodules' distribution from hydroacoustic and optical AUV data linked by random forests machine learning ↗ · 2018 · Gazis, Iason-Zois et al. · indexed
1259. Improving cancer driver gene identification using multi-task learning on graph convolutional network ↗ · 2021 · Peng, Wei et al. · indexed
1260. Enhanced CO2 Emissions Prediction Using Temporal Fusion Transformer Optimized by Football Optimization Algorithm ↗ · 2025 · Alhussan, Amel Ali et al. · indexed
1261. MLGCN-Driver: a cancer driver gene identification method based on multi-layer graph convolutional neural network ↗ · 2025 · Wei, Pi-Jing et al. · indexed
1262. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting · 2020 · Song, Chao et al. · archived
1263. A novel systematic approach for robust numerical simulation of carbon fiber-reinforced plastic circular tubes: Utilizing machine-learning techniques for calibration and validation ↗ · 2024 · Abbasi, Milad et al. · indexed
1264. Different hybrid machine intelligence techniques for handling IoT‐based imbalanced data ↗ · 2021 · Mohindru, Gaurav et al. · indexed
1265. Navigating Agri-Food Export Vulnerabilities under Economic Shocks: A Hybrid Scenario-Econometric Forecasting for Iran’s Pistachio Sector ↗ · 2026 · Dourandish, Arash et al. · indexed
1266. Comparative analysis of statistical and deep learning models for short-term LTE cell traffic prediction ↗ · 2026 · Dangi, Janak et al. · indexed
1267. Autonomous UAVs wildlife detection using thermal imaging, predictive navigation and computer vision ↗ · 2016 · Ward, Sean et al. · indexed
1268. IoT Device Identification Using Directional Packet Length Sequences and 1D-CNN ↗ · 2022 · Liu, Xiangyu et al. · indexed
1269. The systemic immune-inflammation index as a superior predictor of functional outcome following mechanical thrombectomy for acute ischemic stroke: a retrospective cohort study ↗ · 2026 · Zhou, Bo et al. · indexed
1270. Climatic and Topographic Factors Driving Large Wildfires: Decision Tree-Based Risk Mapping in South Korea ↗ · 2026 · Kim, Celine Mieso et al. · indexed
1271. Determinants of exchange rate fluctuations and implementation of an early warning system for currency crises ↗ · 2026 · Gautier, Virginie · indexed
1272. Devon Energy Rises to the Top as a Data-Driven Producer ↗ · 2016 · Jacobs, Trent · indexed
1273. Improving Load Forecasting of Electric Vehicle Charging Stations Through Missing Data Imputation ↗ · 2020 · Lee, Byungsung et al. · indexed
1274. Results from the ATS-Level Assessment of the Clean Sky 2 Technology Evaluator ↗ · 2025 · Gelhausen, Marc C. et al. · indexed
1275. GMHAN: a heterogeneous graph attention framework for prioritizing coding and non-coding driver genes ↗ · 2026 · Meng, Ping et al. · indexed
1276. The Variance Risk Premium Across Markets and Regimes A Downside, Crash-Conditional Risk Premium, Not Harvestable Carry ↗ · 2026 · Ahmed, Shehzad · indexed
1277. OQFL: An Optimized Quantum-Based Federated Learning Framework for Defending Against Adversarial Attacks in Intelligent Transportation Systems ↗ · 2021 · Yamany, Waleed et al. · indexed
1278. Charging Strategies for Electric Vehicles Using a Machine Learning Load Forecasting Approach for Residential Buildings in Canada ↗ · 2024 · Mohsenimanesh, Ahmad et al. · indexed
1279. The use of deep recurrent neural networks to predict performance of photovoltaic system for charging electric vehicles ↗ · 2021 · Małek, Arkadiusz et al. · indexed
1280. The Associative Learning Prediction Error Feedback Loop as Reversible Driving Belt of the Bioenergetics of Longevity ↗ · 2021 · Price, Matthew S · indexed
1281. Climatic and Topographic Factors Driving Large Wildfires: Decision Tree-Based Risk Mapping in South Korea ↗ · 2025 · Kim, Celine Mieso et al. · indexed
1282. A Focused Analysis of the Intersection of Machine Learning and Intelligent Decision ↗ · 2024 · Wang, Shuke et al. · indexed
1283. An Unsupervised Machine Learning Approach for Dynamic Anomaly Detection and Risk Defense in Cloud Servers ↗ · 2026 · Lasantha, Chanaka et al. · indexed
1284. A New Sensor for Robotic Mars Rovers in Sandy Terrains Predicting Critical Soil Flow Using the Spiral Soil Flow Model ↗ · 2020 · Ebrahimi, Saeed et al. · indexed
1285. Machine Learning-Based State-of-Charge Prediction for Electric Bus Fleet: A Critical Analysis ↗ · 2025 · Volturno, Simone et al. · indexed
1286. Recurrent neural network emulation of time-evolving agroecosystem model outputs: a framework for efficient emulator-based calibration ↗ · 2025 · Aakula, Viivi et al. · indexed
1287. Predicting surgical decision-making in vestibular schwannoma using tree-based machine learning ↗ · 2022 · Gadot, Ron et al. · indexed
1288. Enhanced and Interpretable Prediction of Multiple Cancer Types Using a Stacking Ensemble Approach with SHAP Analysis ↗ · 2025 · Ganie, Shahid Mohammad et al. · indexed
1289. Gastroenterology Meets Machine Learning: Status Quo and Quo Vadis ↗ · 2019 · Adadi, Amina et al. · indexed
1290. A Machine Learning-Based Real-Time Remaining Useful Life Estimation and Fair Pricing Strategy for Electric Vehicle Battery Swapping Stations ↗ · 2025 · Celtek, Seyit Alperen et al. · indexed
1291. An Explainable Multi-Stage Feature Selection Framework for Power-Station CO2 Emissions Forecasting ↗ · 2026 · Qader, M. R. et al. · indexed
1292. Federated Learning with Blockchain Assisted Image Classification for Clustered UAV Networks ↗ · 2022 · Abunadi, Ibrahim et al. · indexed
1293. Dynamic thermal modeling and application of electrical machine in hybrid drives ↗ · 2014 · Huang, Zhe et al. · indexed
1294. Spatiotemporal Analysis and Forecasting of Agricultural Carbon Emissions in China Using Machine Learning ↗ · 2026 · Priscilla, Adekola et al. · indexed
1295. Digital twin-enabled AI for sustainable traffic management: real-time urban mobility optimization in smart cities ↗ · 2026 · Abdallah, Wajih et al. · indexed
1296. A CATH domain functional family based approach to identify putative cancer driver genes and driver mutations ↗ · 2019 · Ashford, Paul et al. · indexed
1297. A CATH domain functional family based approach to identify putative cancer driver genes and driver mutations ↗ · 2018 · Ashford, Paul et al. · indexed
1298. BUSINESS MODEL CANVAS (BMC) APPROACH FOR TOURISM MANAGEMENT STRATEGY OF THE TOP SELFIE KRAGILAN, MT. MERBABU NATIONAL PARK ↗ · 2021 · SETIAWAN, Johan et al. · indexed
1299. Rapid Estimation of Static Capacity Based on Machine Learning: A Time-Efficient Approach ↗ · 2024 · Son, Younggill et al. · indexed
1300. AI Based Predictive Analysis of Factors Driving Farmers to Middlemen in Agricultural Marketing Systems ↗ · 2025 · Durga, G. et al. · indexed
1301. Combining FPGA parallelism and machine learning for efficient image convolution ↗ · 2026 · Almomani, Ameera et al. · indexed
1302. Analyzing the Influence of Load Current on the Thermal RC Network Response of Melting-Type Fuses Used in Battery Electric Vehicles ↗ · 2025 · Makan, Oliver et al. · indexed
1303. Integrative Transcriptomic Analysis Reveals Synaptic Pathway-Enriched Prognostic Gene Signature in Glioblastoma ↗ · 2026 · Andriani, Vivin et al. · indexed
1304. A Novel Neutrophil-to-Lymphocyte Ratio and Sarcopenia Based TACE-Predict Model of Hepatocellular Carcinoma Patients ↗ · 2023 · Wang, S et al. · indexed
1305. Optimizing the Selection of Intermediate Charging Stations in EV Routing Through Neuro-Fuzzy Logic ↗ · 2024 · Priya, S. et al. · indexed
1306. Unraveling Sundarbans’ erosion: how machine learning maps climate change impacts ↗ · 2026 · Biswas, Jyotirmoy et al. · indexed
1307. Microbial Gene-Based Prediction of Methane Emission Potential in Tropical Peatlands for Climate Resilience ↗ · 2026 · Aksani, Dila et al. · indexed