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).

497 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. Traffic safety measures using multiple streams real time data : final report · 2017 · Jafari, Mohsen · archived
4. Behavior-Based Predictive Safety Analytics Phase II · 2023 · Miller, Andrew et al. · archived
5. Real-time driving risk assessment using deep learning with XGBoost ↗ · 2022 · Shi, Liang et al. · indexed
6. Data-driven Robust Scoring Approach for Driver Profiling Applications ↗ · 2018 · Abdelrahman, Abdalla et al. · indexed
7. A Framework for Building Comprehensive Driver Profiles ↗ · 2022 · Payyanadan, Rashmi P. et al. · indexed
8. A Review of Data Analytic Applications in Road Traffic Safety. Part 1: Descriptive and Predictive Modeling ↗ · 2020 · Mehdizadeh, Amir et al. · indexed
9. 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
10. Predicting Drivers' Crash Risk Based-on Previous Crash History · 2013 · Das, Subasish · archived
11. Advanced operations focused on connected vehicles/infrastructure (CVI-UTC). · 2015 · Smith, Brian L. et al. · archived
12. Driving safety assessment for ride-hailing drivers · 2020 · Mao, Huiying et al. · archived
13. A longitudinal car-following risk assessment model based on risk field theory for autonomous vehicles ↗ · 2020 · Wu, Bing et al. · indexed
14. Dynamic Real-Time Prediction of Drivers’ Risk Perception Using Deep Learning and Driving Simulator Data ↗ · 2026 · Masud, Saumik Sakib Bin et al. · indexed
15. Estimating likelihood of future crashes for crash-prone drivers · 2015 · Das, Subasish · archived
16. Identifying High-Risk Roadways for Infrastructure Investment Using Naturalistic Driving Data · 2015 · Wolshon, Brian et al. · archived
17. Potential Crash Involvement of Young Novice Drivers with Previous Crash and Citation Records ↗ · 2005 · Chandraratna, Susantha et al. · indexed
18. Do Elevated Gravitational-Force Events While Driving Predict Crashes and Near Crashes? ↗ · 2012 · Bruce G. Simons‐Morton et al. · indexed
19. Driver Impairment Detection & Safety Enhancement Through Comprehensive Volatility Analysis [Slides] · 2021 · Khattak, Asad J. et al. · archived
20. Human-Centered In-Vehicle Sensing Systems for Identifying Driving Pattern from Cognitive Decline Through Quantitative Analysis ↗ · 2025 · Moshfeghi, Sonia et al. · indexed
21. Validation study of risky event classification using driving pattern factors ↗ · 2015 · Castignani, German et al. · indexed
22. Aggregate crash prediction model based on gravity model: Introducing crash risk distribution concept ↗ · 2025 · Dabbaghfeizi, Saman et al. · indexed
23. Application of Stochastic Gradient Boosting Technique to Enhance Reliability of Real-Time Risk Assessment ↗ · 2013 · Ahmed, Mohamed M. et al. · indexed
24. Different Forecasting Model Comparison for Near Future Crash Prediction ↗ · 2023 · Cai, Bowen et al. · indexed
25. Identifying High Crash Risk Highway Segments Using Jerk-Cluster Analysis ↗ · 2019 · Mousavi, Seyedeh Maryam et al. · indexed
26. Techniques for Predicting High-Risk Drivers for Alcohol Countermeasures. Volume 1, Technical Report · 1979 · Lacey, John H. et al. · archived
27. Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub · 2022 · Di, Xuan et al. · archived
28. A Cloud-Based Environment-Aware Driver Profiling Framework using Ensemble Supervised Learning ↗ · 2019 · Abdelrahman, Abdalla et al. · indexed
29. Behavior-based Predictive Safety Analytics - Pilot Study [supporting datasets] · 2018 · Engström, Johan et al. · archived
30. Innovative modeling of naturalistic driving data: Inference and prediction ↗ · 2017 · Albert, Paul S. · indexed
31. Investigating Relationship Between Driving Patterns and Traffic Safety Using Smartphones Based Mobile Sensor Data · 2016 · Sahin, Olcay et al. · archived
32. Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction · 2024 · Fasanmade, Adebamigbe et al. · archived
33. Evaluating the influence of crashes on driving risk using recurrent event models and Naturalistic Driving Study data · 2016 · Chen, Chen et al. · archived
34. Predicting Truck Crash Involvement: Developing a Commercial Driver Behavior-Based Model and Recommended Countermeasures ↗ · 2005 · Murray, Daniel et al. · indexed
35. Predicting Changes in Driving Safety Performance on an Individualized Level Under Naturalistic Driving Conditions · 2019 · Cavuoto, Lora et al. · archived
36. An Improved Deep Learning Model for Traffic Crash Prediction ↗ · 2018 · Dong, Chunjiao et al. · indexed
37. Assessing Safety on Dutch Freeways with Data from Infrastructure-Based Intelligent Transportation Systems ↗ · 2008 · Abdel-Aty, Mohamed et al. · indexed
38. A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data ↗ · 2019 · Zhang, Jun et al. · indexed
39. Big Data Visualization and Spatiotemporal Modeling of Risky Driving · 2020 · Jahangiri, Arash et al. · archived
40. Using Machine Learning Models to Forecast Severity Level of Traffic Crashes by R Studio and ArcGIS · 2022 · Al-Mistarehi, Bara’ W. et al. · archived
41. Predicting Freeway Crashes from Loop Detector Data by Matched Case-Control Logistic Regression ↗ · 2004 · Abdel-Aty, Mohamed et al. · indexed
42. Driver Behavior Profiling Using Smartphones: A Low-Cost Platform for Driver Monitoring ↗ · 2015 · Castignani, German et al. · indexed
43. A Freeway Safety Strategy for Advanced Proactive Traffic Management ↗ · 2005 · Pande, Anurag et al. · indexed
44. Comparisons of Machine Learning Algorithms for Driving Behavior Recognition Using In-Vehicle CAN Bus Data ↗ · 2019 · Chen, Wenhui et al. · indexed
45. Semiparametric Bayesian models for evaluating time‐variant driving risk factors using naturalistic driving data and case‐crossover approach ↗ · 2017 · Guo, Feng et al. · indexed
46. A Framework for Combining Lateral and Longitudinal Acceleration to Assess Driving Styles Using Unsupervised Approach · 2023 · Zhu, Yuanfang et al. · archived
47. Road Rage and Aggressive Driving Behaviour Detection in Usage-Based Insurance Using Machine Learning ↗ · 2023 · Arumugam, Subramanian et al. · indexed
48. MRI-Copula: A Hybrid Copula–Machine Learning Framework for Multivariate Risk Indexing in Urban Traffic Safety ↗ · 2025 · Alanazi, Fayez et al. · indexed
49. Multiple-Model Framework for Assessment of Real-Time Crash Risk ↗ · 2007 · Pande, Anurag et al. · indexed
50. Smartphone-Based Adaptive Driving Maneuver Detection: A Large-Scale Evaluation Study ↗ · 2017 · Castignani, German et al. · indexed
51. Driving Behavior Based Relative Risk Evaluation Using a Nonparametric Optimization Method ↗ · 2021 · Bao, Qiong et al. · indexed
52. Driving behavior recognition and scoring: A Bayesian approach to driving simulator data analytics ↗ · 2026 · Pourghasemi, Mohammad et al. · indexed
53. Driving behavior analytics: an intelligent system based on machine learning and data mining techniques ↗ · 2025 · Arabiat, Areen et al. · indexed
54. A conflict-based approach for real-time road safety analysis: Comparative evaluation with crash-based models · 2021 · Orsini, Federico et al. · archived
55. Driver Impairment Detection and Safety Enhancement Through Comprehensive Volatility Analysis · 2020 · Khattak, Asad J. et al. · archived
56. Driver classification and driving style recognition using inertial sensors ↗ · 2013 · Van Ly, Minh et al. · indexed
57. Technology and Enhancements to Improve Pre-Crash Safety · 2018 · Ozguner, Umit et al. · archived
58. A Two-Stage Deep Contrastive and Ensemble Framework for Early Cognitive Impairment Recognition Using Vehicle Telematics ↗ · 2025 · Moshfeghi, Sonia et al. · indexed
59. Driving Style Analysis Using Data Mining Techniques · 2010 · Constantinescu, Zoran et al. · archived
60. Automatic Safety Diagnosis in a Connected Vehicle Environment · 2022 · Whalin, Robert W et al. · archived
61. Analyzing Crash-Prone Drivers in Multiple Crashes for Better Safety Educational and Enforcement Strategies · 2014 · Das, Subasish · archived
62. Holistically Identifying Road Complexity and Relating It to Fatal Crashes · 2025 · Wang, Meng et al. · archived
63. Development of a prediction model for crash occurrence by analyzing traffic crash and citation data : final report. · 2017 · Gonzalez-Velez, Enrique et al. · archived
64. Driver Behavior Monitoring Based on Smartphone Sensor Data and Machine Learning Methods ↗ · 2019 · Lindow, Friedrich et al. · indexed
65. Learning-based methods for spatial road safety analysis using in-vehicle telematics data: A systematic review ↗ · 2026 · Paradiso, Simone et al. · indexed
66. A comprehensive joint econometric model of motor vehicle crashes arising from multiple sources of risk · 2018 · Afghari, Amir Pooyan et al. · archived
67. Crash Generation Models: Forecasting Crashes in Urban Areas ↗ · 2010 · Naderan, Ali et al. · indexed
68. Driver behavior profiling using smartphones ↗ · 2013 · Castignani, German et al. · indexed
69. Driving risk emerges from the required two-dimensional joint evasive acceleration · 2026 · Cheng, Hao et al. · archived
70. Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters · 2022 · Chen, Chen et al. · archived
71. Identifying Deviations from Normal Driving Behavior · 2022 · Hananeh Alambeigi, H et al. · archived
72. Public health application of predictive modeling: an example from farm vehicle crashes · 2019 · Ranapurwala, Shabbar I. et al. · archived
73. Machine Learning Framework for Real-Time Assessment of Traffic Safety Utilizing Connected Vehicle Data ↗ · 2022 · Mussah, Abdul Rashid et al. · indexed
74. The Safety Performance of Passenger Carrier Drivers · 2012 · NHTSA · archived
75. Enhancing road safety: In-vehicle sensor analysis of cognitive impairment in older drivers · 2024 · Jan, Muhammad Tanveer et al. · archived
76. Crash Prediction Models for Older Drivers: A Panel Data Analysis Approach · 1996 · Hu, Patricia et al. · archived
77. AI-based framework for automatically extracting high-low features from NDS data to understand driver behavior ↗ · 2023 · Aboah, Armstrong · indexed
78. RiskNet: interaction-aware risk forecasting for autonomous driving in long-tail scenarios · 2025 · Liu, Qichao et al. · archived
79. Predicting Drivers’ Speeding Behaviour: A Case-based Reasoning Approach ↗ · 2023 · Zhong, Qiaoting et al. · indexed
80. Predicting Road Crash Severity Using Classifier Models and Crash Hotspots ↗ · 2022 · Islam, Md. Kamrul et al. · indexed
81. 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
82. In-Vehicle Data for Predicting Road Conditions and Driving Style Using Machine Learning ↗ · 2022 · Al-refai, Ghaith et al. · indexed
83. Crash Risk Estimation Due to Lane Changing: A Data-Driven Approach Using Naturalistic Data ↗ · 2020 · Mahajan, Vishal et al. · indexed
84. Driving Risk Classification Methodology for Intelligent Drive in Real Traffic Event ↗ · 2018 · Sun, Chuan et al. · indexed
85. Driver Models for Both Human and Autonomous Vehicles · 2018 · Kurt, Arda et al. · archived
86. Human-Centered Multi-Sensor Framework for Identifying Driving Patterns Associated with Cognitive Decline Through Quantitative Analysis · 2026 · Moshfeghi, Sonia et al. · archived
87. Modelling the relationship of driver license and offense history with fatal and serious injury (FSI) crash involvement ↗ · 2021 · Meyer, Denny et al. · indexed
88. Development of a statistical method for predicting human driver decisions. · 2015 · Tan, Yaoyan Vincent et al. · archived
89. Driver Behaviour Profiling Using Dynamic Bayesian Network · 2018 · Obuhuma, James et al. · archived
90. 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
91. Driver Celeration Behavior and the Prediction of Traffic Accidents ↗ · 2006 · Wåhlberg, Anders E. af · indexed
92. A hybrid statistical-machine learning methodology for addressing endogeneity and temporal instability in speeding-crash frequency relationships ↗ · 2026 · Asadi Ghalehni, Sajad et al. · indexed
93. A survey on driving behavior analysis in usage based insurance using big data · 2019 · Arumugam, Subramanian et al. · archived
94. Driving Behaviour Analysis Using Machine and Deep Learning Methods for Continuous Streams of Vehicular Data ↗ · 2021 · Peppes, Nikolaos et al. · indexed
95. Situation understanding and risk assessment framework for preventive driver assistance ↗ · 2026 · Armand, Alexandre · indexed
96. Driver Route Planning Method Based on Accident Risk Cost Prediction ↗ · 2022 · Liao, Xiaoleng et al. · indexed
97. New Measure of Inattentiveness to Forward Roadway ↗ · 2012 · Pollatsek, Alexander et al. · indexed
98. Conflict-Based Real-Time Road Safety Analysis: Sensitivity to Data Collection Duration and its Implications for Model Resilience ↗ · 2023 · Orsini, Federico et al. · indexed
99. 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
100. Integrated driving risk surrogate model and car-following behavior for freeway risk assessment ↗ · 2024 · Wu, Renfei et al. · indexed
101. Spatial Deep Learning Approach to Older Driver Classification ↗ · 2024 · Boateng, Charles et al. · indexed
102. Predicting Freeway Traffic Crash Severity Using XGBoost-Bayesian Network Model with Consideration of Features Interaction ↗ · 2022 · Yang, Yang et al. · indexed
103. In-vehicle Sensing and Data Analysis for Older Drivers with Mild Cognitive Impairment · 2023 · Moshfeghi, Sonia et al. · archived
104. Application of machine learning models and SHAP to examine crashes involving young drivers in New Jersey ↗ · 2023 · Das, Subasish · indexed
105. Developing Artificial Intelligence Driven Safe Navigation Tool · 2023 · Das, Subasish et al. · archived
106. Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis ↗ · 2020 · Wang, Jianqiang et al. · indexed
107. Real-time conflict prediction: a comparative study of machine learning classifiers ↗ · 2021 · Orsini, Federico et al. · indexed
108. Driving into diagnosis: Leveraging high-resolution telematics and sensorimotor profiling to identify preclinical Alzheimer's disease ↗ · 2025 · Parhizi, Behdad et al. · indexed
109. Modeling and Prediction of Human Driver Behavior: A Survey. · 2020 · Brown, Kyle et al. · archived
110. SafeDrive: Online Driving Anomaly Detection From Large-Scale Vehicle Data ↗ · 2017 · Zhang, Mingming et al. · indexed
111. SafeTrip 21 initiative : networked traveler foresighted driving field experiment, final report. · 2011 · Nowakowski, Christopher et al. · archived
112. Towards Driver Behavior Understanding: Weakly-Supervised Risk Perception in Driving Scenes · 2026 · Agarwal, Nakul et al. · archived
113. 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
114. Comparisons of Predictive Power for Traffic Accident Involvement; Celeration Behaviour versus Age, Sex, Ethnic Origin, and Experience ↗ · 2018 · Wåhlberg, Anders Af · indexed
115. How Dangerous Is Looking Away From the Road? Algorithms Predict Crash Risk From Glance Patterns in Naturalistic Driving ↗ · 2012 · Liang, Yulan et al. · indexed
116. Development of collision avoidance for light vehicles : near-crash/crash event data recorders · 2006 · da Silva, Marco P. et al. · archived
117. Evaluation of Older Driver Fitness-to-Drive Metrics and Driving Risk Using Naturalistic Driving Study Data · 2014 · Guo, Feng et al. · archived
118. Ordinal Latent Variable Models and Their Application in the Study of Newly Licensed Teenage Drivers ↗ · 2012 · Jackson, John C. et al. · indexed
119. A survey on motion prediction and risk assessment for intelligent vehicles · 2014 · Lefèvre, Stéphanie et al. · archived
120. 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
121. Driver behavior profiling: An investigation with different smartphone sensors and machine learning · 2017 · Ferreira, Jair et al. · archived
122. Traffic Safety Risks Trends and Patterns Analysis on Motorways ↗ · 2014 · Hamzehei, Asso et al. · indexed
123. Assessing the Effectiveness of the Wyoming Connected Vehicle Pilot Program: New Traffic Safety Research Perspectives · 2022 · Ahmed, Mohamed M. et al. · archived
124. The Carrier Safety Measurement System (CSMS) Effectiveness Test by Behavior Analysis and Safety Improvement Categories (BASICs) · 2014 · NHTSA · archived
125. Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety · 2011 · Laugier, Christian et al. · archived
126. Application of naturalistic driving data: A systematic review and bibliometric analysis · 2023 · Alam, Md Rakibul et al. · archived
127. Individual Driver’s Undesirable Driving Events—A Temporal Analysis ↗ · 2011 · Musicant, Oren et al. · indexed
128. 5. Probabilistic driver modeling ↗ · 2017 · Driggs-Campbell, Katherine et al. · indexed
129. 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
130. Driver Behavior Modeling: Developments and Future Directions ↗ · 2016 · AbuAli, Najah et al. · indexed
131. Advanced Driving Behavior Analytics for an Improved Safety Assessment and Driver Fingerprinting ↗ · 2019 · Bouhoute, Afaf et al. · indexed
132. Split Models for Predicting Multivehicle Crashes During High-Speed and Low-Speed Operating Conditions on Freeways ↗ · 2005 · Mohamed Abdel‐Aty et al. · indexed
133. 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
134. Exploiting the use of recurrent neural networks for driver behavior profiling ↗ · 2017 · de Carvalho, Eduardo Atem et al. · indexed
135. The viability of real-time prediction and prevention of traffic accidents ↗ · 2008 · Abdel-Aty, Mohamed et al. · indexed
136. Predicting Relative Crash Risk from the Attentional Effects of the Cognitive Demand of Visual-Manual Secondary Tasks ↗ · 2017 · Young, Richard A. · indexed
137. Injury severity prediction of traffic crashes with ensemble machine learning techniques: a comparative study ↗ · 2021 · Jamal, Arshad et al. · indexed
138. Unsupervised driving performance assessment using free-positioned smartphones in vehicles ↗ · 2016 · Zheng, Yang et al. · indexed
139. Linking Oregon Driver Records and Crash Data to Evaluate Interventions and Mitigate Driver Risk · 2026 · Hurwitz, David et al. · archived
140. Older driver fitness-to-drive evaluation using naturalistic driving data · 2015 · Guo, Feng et al. · archived
141. Traffic Crash Severity Prediction—A Synergy by Hybrid Principal Component Analysis and Machine Learning Models ↗ · 2020 · Assi, Khaled · indexed
142. A Novel Framework for Road Traffic Risk Assessment with HMM-Based Prediction Model ↗ · 2018 · Zheng, Xunjia et al. · indexed
143. Comparing Machine Learning and Deep Learning Methods for Real-Time Crash Prediction ↗ · 2019 · Theofilatos, Athanasios et al. · indexed
144. Using the New SHRP2 Naturalistic Driving Study Safety Databases to Examine Safety Concerns for Older Drivers · 2019 · Knodler, Michael A. et al. · archived
145. A Crash Surrogate Metric considering Traffic Flow Dynamics in a Motorway Corridor · 2018 · Wang, Xu et al. · archived
146. Maneuver-Based Driving Behavior Classification Based on Random Forest ↗ · 2019 · Xie, Jie et al. · indexed
147. Machine Learning-based Trajectory Optimization of Connected and Autonomous Vehicles · 2021 · Fan, Wei (David) et al. · archived
148. A strategic framework for road safety analysis in the connected and autonomous vehicle era ↗ · 2025 · Siddiqui, Abdul Basith et al. · indexed
149. Graphical models for driver behavior recognition in a SmartCar ↗ · 2002 · Oliver, N. et al. · indexed
150. Truck Accident Prediction and Risk Factors Analysis in Jordan: A Machine Learning Approach · 2025 · Al-Tarawneh, Mu’ath · archived
151. Evaluating Harsh Braking Events as a Surrogate Measure of Crash Risk Using Connected-Vehicle Telematics ↗ · 2026 · Hossain, Md Tufajjal et al. · indexed
152. Driver crash risk factors and prevalence evaluation using naturalistic driving data ↗ · 2016 · Dingus, Thomas A. et al. · indexed
153. Advancing Crash Investigation With Connected and Automated Vehicle Data – Phase 2 · 2023 · Khattak, Asad J. et al. · archived
154. Driver celeration behaviour and accidents – an analysis ↗ · 2008 · Wåhlberg, A.E. af · indexed
155. A Bayesian framework for preventive assistance at road intersections · 2016 · Armand, Alexandre et al. · archived
156. Advanced Automatic Collision Notification Research Report · 2019 · Lee, E. et al. · archived
157. Driver identification using driving behavior signals ↗ · 2005 · Wakita, T. et al. · indexed
158. Techniques for Predicting High-Risk Drivers for Alcohol Countermeasures. Volume 2, User Manual · 1978 · Council, Forrest M. et al. · archived
159. Detecting motor vehicle crash blackspots based on their underlying behavioural, engineering, and spatial causes ↗ · 2019 · Afghari, Amir Pooyan · indexed
160. Driver Identification Using Driving Behavior Signals ↗ · 2006 · Wakita, Toshihiro · indexed
161. Interpretable machine learning for evaluating risk factors of freeway crash severity ↗ · 2024 · Samerei, Seyed Alireza et al. · indexed
162. Risk Representation, Perception, and Propensity in an Integrated Human Lane-Change Decision Model ↗ · 2022 · Jiang, Longsheng et al. · indexed
163. 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
164. Prediction of Risk Factors Influencing Severity Level of Traffic Accidents Using Artificial Intelligence ↗ · 2023 · Shatnawi, Nawras et al. · indexed
165. Cognitive Attention Models for Driver Engagement in Intelligent and Semi-autonomous Vehicles · 2018 · Lee, John D. et al. · archived
166. Prediction of Traffic Crash Severity Using Deep Neural Networks: A Comparative Study ↗ · 2020 · Assi, Khaled · indexed
167. Australian National Risk Assessment Model: from vision to action ↗ · 2013 · Jurewicz, Chris · indexed
168. Improving driving behavior by allowing drivers to browse their own recorded driving data ↗ · 2011 · Takeda, Kazuya et al. · indexed
169. Estimating Driver Personality Traits From On-Road Driving Data · 2023 · Kimura, Ryusei et al. · archived
170. 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
171. A Multivariate Analysis of Crash and Naturalistic Driving Data in Relation to Highway Factors ↗ · 2013 · Gordon, Timothy et al. · indexed
172. Fuzzy Logic Model for Assessing Accident Proneness Based on Passenger Vehicle Speed in Real and Virtual Traffic Conditions ↗ · 2024 · Marković, Nenad et al. · indexed
173. Probability of Detection (POD)-based Metric for Evaluation of Classifiers Used in Driving Behavior Prediction · 2019 · Ameyaw, Daniel Adofo et al. · archived
174. 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
175. Multimodal Driver State Modeling through Unsupervised Learning · 2021 · Tavakoli, Arash et al. · archived
176. Accounting for Driver Distraction and Socioeconomic Characteristics in a Crash Risk Index: Naturalistic Driving Study ↗ · 2017 · Ye, Mengqiu et al. · indexed
177. Driving style recognition using fuzzy logic ↗ · 2012 · Aljaafreh, Ahmad et al. · indexed
178. Segment level safety analysis using lane-changing behavior and driving volatility features from connected vehicle trajectories · 2025 · Han, Lei et al. · archived
179. AI and Decision Support Systems for Crash Preventability PAR Processing · 2024 · Miller, Andrew et al. · archived
180. A novel approach to set driving simulator experiments based on traffic crash data ↗ · 2020 · Bobermin, Mariane Paula et al. · indexed
181. Adaptive Individual-Level Cognitive Driving Anomaly Detection Model Exclusively Using BSMs ↗ · 2023 · Wu, Di et al. · indexed
182. 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
183. Secure and Private Sensing for Driver Authentication and Transportation Safety : Final Report · 2017 · Voris, Jonathan et al. · archived
184. Context-Aware Driver Behavior Detection System in Intelligent Transportation Systems ↗ · 2013 · Al-Sultan, Saif et al. · indexed
185. Combination of macroscopic and microscopic crash prediction models with multiple modeling approaches: A highway case study ↗ · 2024 · Rúa, Erik et al. · indexed
186. Modeling Naturalistic Driving Environment with High-Resolution Trajectory Data · 2023 · Feng, Shuo et al. · archived
187. Smartphone sensing for understanding driving behavior: Current practice and challenges ↗ · 2020 · Mantouka, Eleni G. et al. · indexed
188. Exploiting Machine Learning Algorithms for Predicting Crash Injury Severity in Yemen: Hospital Case Study ↗ · 2020 · Al-Moqri, Tariq et al. · indexed
189. D<sup>3</sup>: Abnormal driving behaviors detection and identification using smartphone sensors ↗ · 2015 · Chen, Zhongyang et al. · indexed
190. Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field · 2023 · Du, Yurui et al. · archived
191. Feasibility of Driver Judgment as Basis for a Crash Avoidance Database ↗ · 2002 · Smith, David L. et al. · indexed
192. Safe Driving Using Mobile Phones · 2012 · Fazeen, Mohamed et al. · archived
193. 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
194. Smartphone-Based Vehicle Telematics: A Ten-Year Anniversary · 2017 · Wahlström, Johan et al. · archived
195. A Predictive Model of a Driver’s Target Trajectory Based on Estimated Driving Behaviors ↗ · 2023 · Yan, Zhanhong et al. · indexed
196. Non-stationary concept of accident prediction ↗ · 2016 · Mansourkhaki, Ali et al. · indexed
197. Tactical driver behavior prediction and intent inference: A review ↗ · 2011 · Doshi, Anup et al. · indexed
198. Probabilistic trajectory prediction with Gaussian mixture models ↗ · 2012 · Wiest, Jurgen et al. · indexed
199. iRisk: Towards Responsible AI-Powered Automated Driving by Assessing Crash Risk and Prevention ↗ · 2025 · Mbelekani, Naomi et al. · indexed
200. Considering Traffic and Roadway Context in Driver Behavior Assessments ↗ · 2016 · Liang, Yulan et al. · indexed
201. Macro-Level Modeling of Urban Transportation Safety: Case-Study of Mashhad (Iran) · 2017 · Mohammadi, Mehdi et al. · archived
202. MIMIC — Multidisciplinary Initiative on Methods to Integrate and Create Realistic Artificial Data · 2023 · Edara, Praveen K. et al. · archived
203. Modeling Crashes Severity Using Ensemble Techniques · 2023 · ALHADIDI, Taqwa et al. · archived
204. A framework for driver specific inference of danger at signalized intersections ↗ · 2003 · Dariush, Behzad et al. · indexed
205. An Exploration of the Use of Artificial Intelligence for Enhanced Traffic Management, Operations and Safety · 2024 · Juri, Natalia Ruiz et al. · archived
206. Predicting Compliance with Speed Limits using Speed Limit Credibility Perception and Risk Perception Data ↗ · 2020 · Yao, Yao et al. · indexed
207. Real-Time Detection System of Driver Distraction Using Machine Learning · 2013 · Tango, Fabio et al. · archived
208. Technology Applications for Traffic Safety Programs: A Primer · 2008 · NHTSA · archived
209. Predictive analysis techniques for road accident injuries: A survey ↗ · 2017 · Chaudhary, Roopal et al. · indexed
210. Application of Different Exposure Measures in Development of Planning-Level Zonal Crash Prediction Models ↗ · 2012 · Pirdavani, Ali et al. · indexed
211. Situation Awareness for Driver-Centric Driving Style Adaptation · 2024 · Haselberger, Johann et al. · archived
212. Driver impairment detection using decision tree based feature selection and classification ↗ · 2023 · Çetinkaya, Mert et al. · indexed
213. Using Traffic Disturbance Metrics to Estimate and Predict Freeway Traffic Breakdown and Safety Events ↗ · 2021 · Azizi, Leila et al. · indexed
214. Critical factors affecting mobile phone use while driving through the exploitation of smartphone sensor data ↗ · 2023 · Akritidou, Sofia et al. · indexed
215. Review of: "Crash severity analysis of vulnerable road users using machine learning" · 2021 · Ziakopoulos, Apostolos · archived
216. Multi-Level Feature Extraction and Classification for Lane Changing Behavior Prediction and POD-Based Evaluation · 2024 · Rastin, Zahra et al. · archived
217. Driving Behavior Analysis Guidelines for Intelligent Transportation Systems ↗ · 2021 · Azadani, Mozhgan Nasr et al. · indexed
218. RFCNN: Traffic Accident Severity Prediction Based on Decision Level Fusion of Machine and Deep Learning Model ↗ · 2021 · Manzoor, Mubariz et al. · indexed
219. Identifying Driver Interactions via Conditional Behavior Prediction · 2021 · Tolstaya, Ekaterina et al. · archived
220. Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis ↗ · 2015 · Qi, Geqi et al. · indexed
221. Improved Driving Behaviors Prediction Based on Fuzzy Logic-Hidden Markov Model (FL-HMM) · 2018 · Deng, Qi et al. · archived
222. A Bayesian finite mixture change-point model for assessing the risk of novice teenage drivers ↗ · 2017 · Li, Qing et al. · indexed
223. Predicting Traffic Accidents Severity Using Multiple Analytical Techniques ↗ · 2023 · Elawady, Ahmed et al. · indexed
224. 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
225. Driver State and Behavior Detection Through Smart Wearables · 2021 · Tavakoli, Arash et al. · archived
226. A Deep Learning Approach to Detect Real-Time Vehicle Maneuvers Based on Smartphone Sensors ↗ · 2020 · Li, Pei et al. · indexed
227. Factors contributing to intercity commercial bus drivers' crash involvement risk ↗ · 2018 · Besharati, Mohammad Mehdi et al. · indexed
228. Predictive Threat Assessment via Reachability Analysis and Set Invariance Theory ↗ · 2011 · Falcone, Paolo et al. · indexed
229. Moving attention from the road: A new methodology for the driver distraction evaluation using machine learning approaches ↗ · 2009 · Tango, Fabio et al. · indexed
230. Efficient Smartphone Sensor Analysis for Behavioral Profiling in Transportation Research: A Case Study of Driver and Passenger Classification · 2024 · Lozano, Wilson et al. · archived
231. Application of Extremely Randomised Trees for exploring influential factors on variant crash severity data · 2022 · Afshar, Farshid et al. · archived
232. Deep InSight: A Driver-State Estimation Platform for Processing Naturalistic Driving Data · 2024 · Sharma, Anuj et al. · archived
233. Driving Behavior Safety Levels: Classification and Evaluation ↗ · 2021 · Yang, Kui et al. · indexed
234. Characterizing the "Driver DNA" Through CAN Bus Data Analysis ↗ · 2017 · Fugiglando, Umberto et al. · indexed
235. 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
236. 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
237. Enhancing Safe Traffic Operations Using Connected Vehicles Data and Technologies · 2017 · Li, Zhibin et al. · archived
238. Driver modeling: Data collection, model analysis, and optimization ↗ · 2012 · Benderius, Ola · indexed
239. 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
240. Drivers Performance Evaluation using Physiological Measurement in a Driving Simulator ↗ · 2018 · Koohestani, Afsaneh et al. · indexed
241. Advanced vehicular sensing of road artifacts and driver behavior ↗ · 2015 · AbuAli, Najah · indexed
242. Modeling and adaptation of stochastic driver-behavior model with application to car following ↗ · 2011 · Angkititrakul, Pongtep et al. · indexed
243. 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
244. Effective and Fair Identification of Hazardous Locations ↗ · 2004 · Tarko, Andrew P. et al. · indexed
245. Driver behavioural classification from trajectory data ↗ · 2005 · Rigolli, Marco et al. · indexed
246. Driving style recognition using a smartphone as a sensor platform ↗ · 2011 · Johnson, Derick A. et al. · indexed
247. Vehicle Automation and Transportability of Crash Modification Factors · 2019 · Davis, Gary et al. · archived
248. Study of the Impact of a Telematics System on Safe and Fuel-Efficient Driving in Trucks · 2014 · Boodlal, Leverson et al. · archived
249. Statistical Threat Assessment for General Road Scenes Using Monte Carlo Sampling ↗ · 2008 · Eidehall, Andreas et al. · indexed
250. 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
251. University of Florida (UF) Testbed Initiative – Alternative Transportation Safety Systems · 2020 · Agarwal, Nithin et al. · archived
252. Trajectory prediction of a lane changing vehicle based on driver behavior estimation and classification ↗ · 2014 · Liu, Peng et al. · indexed
253. 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
254. Assessing Crash Risks of Evacuation Traffic: A Simulation-based Approach · 2019 · Hasan, Samiul et al. · archived
255. Stochastic Mixture Modeling of Driving Behavior During Car Following · 2013 · Angkititrakul, Pongtep et al. · archived
256. Towards a Driver Model: Preliminary Study of Lane Change Behavior ↗ · 2008 · Dogan, Ueruen et al. · indexed
257. Aircraft Accident Prediction Using Machine Learning Classification Algorithms ↗ · 2023 · Kačar, Rade et al. · indexed
258. Enhancing the Performance of a Model to Predict Driving Distraction with the Random Forest Classifier ↗ · 2021 · Ahangari, Samira et al. · indexed
259. Analysis of microscopic behavior models for probabilistic modeling of driver behavior ↗ · 2016 · Wheeler, Tim A. et al. · indexed
260. Estimation of Safety Benefits for Heavy-Vehicle Crash Warning Applications Based on Vehicle-to-Vehicle Communications · 2017 · Guglielmi, John et al. · archived
261. Near Crashes as Crash Surrogate for Naturalistic Driving Studies ↗ · 2010 · Guo, Feng et al. · indexed
262. Developing a Curve Risk Prediction Model for a Safe System Signature Project ↗ · 2015 · Durdin, Paul et al. · indexed
263. Developing a Curve Risk Prediction Model for a Safe System Signature Project ↗ · 2015 · Durdin, Paul et al. · indexed
264. Exploring Driver Responses to Unexpected and Expected Events Using Probabilistic Topic Models · 2017 · Venkatraman, Vindhya et al. · archived
265. A Mathematical Model for the Prediction of Speeding with its Validation ↗ · 2013 · Zhao, Guozhen et al. · indexed
266. Long short‐term memory and convolutional neural network for abnormal driving behaviour recognition ↗ · 2020 · Jia, Shuo et al. · indexed
267. Investigating Individual Driver Performance: Applying DEA on Simulator Data · 2014 · Babaee, Seddigheh et al. · archived
268. IMPROVING ROAD SAFETY: SUPERVISED MACHINE LEARNING ANALYSIS OF FACTORS INFLUENCING CRASH SEVERITY · 2025 · Khanh Giang, LE · archived
269. Study of the Impact of a Telematics System on Safe and Fuel-Efficient Driving in Trucks [Technology Brief] · 2014 · NHTSA · archived
270. Calibration of Safety Prediction Models for Planning Transportation Networks ↗ · 2006 · Tarko, Andrew P. · indexed
271. Predicting arterial breakdown probability: A data mining approach ↗ · 2017 · Iqbal, Shahadat et al. · indexed
272. Analysis of volatility in driving regimes extracted from basic safety messages transmitted between connected vehicles · 2017 · Khattak, Asad J. et al. · archived
273. THE PREDICTION OF ACCIDENT LIABILITY THROUGH BIOGRAPHICAL DATA AND PSYCHOMETRIC TESTS ↗ · 1973 · Harano, RM et al. · indexed
274. Risk Generation and Identification of Driver–Vehicle–Road Microtraffic System ↗ · 2022 · Huang, Heye et al. · indexed
275. 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
276. A tool for long-term predictions of road safety based on travel demand modeling and network characteristics ↗ · 2019 · Llorca, Carlos et al. · indexed
277. Road traffic accident prediction modelling: a literature review ↗ · 2017 · Yannis, George et al. · indexed
278. Proactive assessment of road curve safety using floating car data: An exploratory study · 2019 · Ambros, Jiří et al. · archived
279. Machine Learning Approach to Short-Term Traffic Congestion Prediction in a Connected Environment ↗ · 2018 · Elfar, Amr et al. · indexed
280. KNOWLEDGE DISCOVERY FROM ROAD TRAFFIC ACCIDENT DATA IN ETHIOPIA: DATA QUALITY, ENSEMBLING AND TREND ANALYSIS FOR IMPROVING ROAD SAFETY · 2012 · Beshah, Tibebe et al. · archived
281. New time-based surrogate safety measure to assess crash risk in car-following scenarios ↗ · 2014 · Behbahani, Hamid et al. · indexed
282. STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios · 2024 · Xu, Dongyang et al. · archived
283. Prediction of human driver behaviors based on an improved HMM approach · 2018 · Deng, Qi et al. · archived
284. Long-Term Effects of Driver Feedback on Harsh Braking Behavior: Insights from Survival Models ↗ · 2026 · Kontaxi, Armira et al. · indexed
285. An international review of challenges and opportunities in development and use of crash prediction models · 2018 · Ambros, Jiří et al. · archived
286. Abnormal driving detection using real time Global Positioning System data ↗ · 2011 · Mohamad, Ishak et al. · indexed
287. Practical Minimum Sample Size for Road Crash Time-Series Prediction Models ↗ · 2020 · Hassouna, Fady M. A. et al. · indexed
288. A Learning-Based Approach for Lane Departure Warning Systems With a Personalized Driver Model · 2018 · Wang, Wenshuo et al. · archived
289. Sensitivity of a real-time freeway crash prediction model to calibration optimality · 2012 · Samimi, Amir et al. · archived
290. Empowering Commercial Vehicles through Data-Driven Methodologies ↗ · 2021 · Bethaz, Paolo et al. · indexed
291. Airplane Crash Severity Prediction Using Machine Learning ↗ · 2021 · Mehta, Jay et al. · indexed
292. The Concept of Proactive Traffic Management for Enhancing Freeway Safety and Operation ↗ · 2010 · Abdel‐Aty, Mohamed et al. · indexed
293. The Concept of Proactive Traffic Management for Enhancing Freeway Safety and Operation ↗ · 2010 · Mohamed Abdel‐Aty et al. · indexed
294. A Preliminary Investigation into the Design of Driver Evaluator Using a Physics-Assisted Machine Learning Technique ↗ · 2025 · Hou, Mingke et al. · indexed
295. Privacy-Preserving Machine Learning Models for Traffic Forecasting · 2025 · Mahmoud, Mahmoud N. · archived
296. The Role of Artificial Intelligence and Machine Learning in Federally Supported Surface Transportation 2022 Updates · 2022 · NHTSA · archived
297. Road User Collision Prediction Using Motion Patterns Applied to Surrogate Safety Analysis ↗ · 2014 · Saunier, Nicolas et al. · indexed
298. A novel Road User Safety Field Theory for traffic safety assessment applying video analytics · 2022 · Arun, Ashutosh · archived
299. Leveraging UAV Capabilities for Vehicle Tracking and Collision Risk Assessment at Road Intersections ↗ · 2022 · Zong, Shuya et al. · indexed
300. 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
301. Car-Following Safety Control Framework Based on Short-Term Safety Evolution Pattern Prediction ↗ · 2025 · Zhang, Huansong et al. · indexed
302. Model-Based Threat Assessment for Avoiding Arbitrary Vehicle Collisions ↗ · 2010 · Brännström, Mattias et al. · indexed
303. A CNN2D-LSTM Framework for Rule-Based Pedestrian-Vehicle Risk Scenario Detection · 2026 · BENKHADDA, Oumaima et al. · archived
304. Modelling stop intersection approaches using Gaussian processes · 2013 · Armand, Alexandre et al. · archived
305. Comparison of Machine Learning Algorithms for Predicting Traffic Accident Severity ↗ · 2019 · Mamlook, Rabia Emhamed Al et al. · indexed
306. Abnormal Driving Pattern Detection from GPS Trajectories Using Vision Transformer · 2026 · Ghoreishi, Seyedeh Gol Ara et al. · archived
307. The Role of Artificial Intelligence and Machine Learning in Federally Supported Surface Transportation Initiatives : [brochure] · 2018 · NHTSA · archived
308. Context-aware system for pre-triggering irreversible vehicle safety actuators ↗ · 2017 · Bohmlander, Dennis et al. · indexed
309. Modeling the Driving Behavior of Electric Vehicles Using Smartphones and Neural Networks · 2014 · Díaz-Álvarez, Alberto et al. · archived
310. Driving Style and Traffic Prediction with Artificial Neural Networks Using On-Board Diagnostics and Smartphone Sensors ↗ · 2024 · Al-refai, Ghaith et al. · indexed
311. Abnormal Driving Detection Using GPS Data · 2023 · Boateng, Charles et al. · archived
312. Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior ↗ · 2016 · Morton, Jeremy et al. · indexed
313. Transponder- and Camera-based advanced driver assistance system ↗ · 2012 · Westhofen, Daniel et al. · indexed
314. Benchmarking Advanced Tabular AI Models for Classifying SAE Automation Levels in Crash Data · 2026 · Somvanshi, Shriyank et al. · archived
315. Decision-Making Tool for Road Preventive Maintenance Using Vehicle Vibration Data · 2019 · Ahn, Changbum et al. · archived
316. Comparing Statistical and Machine Learning Classifiers: Alternatives for Predictive Modeling in Human Factors Research ↗ · 2003 · Carnahan, Brian et al. · indexed
317. Risk assessment for Collision Avoidance Systems · 2014 · Houenou, Adam et al. · archived
318. A real-time autonomous highway accident detection model based on big data processing and computational intelligence · 2016 · Özbayoğlu, Ahmet Murat et al. · archived
319. AI-enabled prediction of sim racing performance using telemetry data ↗ · 2024 · Hojaji, Fazilat et al. · indexed
320. Developing a Prediction Model for Real-Time Incident Detection Leveraging User-Oriented Participatory Sensing Data ↗ · 2025 · Hossain, Md Tufajjal et al. · indexed
321. An intelligent smartphone based approach using IoT for ensuring safe driving ↗ · 2017 · Mamun, Mohd Abdullah Al et al. · indexed
322. Sensor Degradation Detection Algorithm for Automated Driving Systems · 2023 · Darab, Jonathan M et al. · archived
323. Driver/vehicle response diagnostic system for vehicle following based on Gaussian Mixture Model ↗ · 2012 · Butakov, Vadim et al. · indexed
324. 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
325. Application of machine learning for fuel consumption modelling of trucks ↗ · 2017 · Perrotta, Federico et al. · indexed
326. Crash Severity Prediction in Cold Regions Using Machine Learning: Integrating Weather, Lighting, and Road Surface Conditions ↗ · 2025 · Abaza, Osama · indexed
327. A Data-Driven Spatio-Temporal Video-Based Model for Pedestrian-Vehicle Risk Prediction · 2026 · BENKHADDA, Oumaima et al. · archived
328. Key Artificial Intelligence and Digitalization Solutions Towards Vision Zero in Road Safety · 2024 · Ziakopoulos, Apostolos et al. · archived
329. Application of Random Forest Model for Traffic Accidents Severity Prediction in Qassim Province of Saudi Arabia ↗ · 2022 · Almoshaogeh, Meshal · indexed
330. Improved Support Vector Machine Models for Work Zone Crash Injury Severity Prediction and Analysis ↗ · 2019 · Mokhtarimousavi, Seyedmirsajad et al. · indexed
331. Fusion of probe and fixed sensor data for short-term traffic prediction in urban signalized arterials ↗ · 2013 · Mehran, Babak et al. · indexed
332. Predicting Fuel Consumption and Emissions Using GPS-Based Machine Learning Models for Gasoline and Diesel Vehicles ↗ · 2025 · Alazemi, Fahd et al. · indexed
333. Traffic Estimation And Prediction Based On Real Time Floating Car Data ↗ · 2008 · de Fabritiis, Corrado et al. · indexed
334. A CNN-LSTM Based Model to Predict Trajectory of Human-Driven Vehicle ↗ · 2023 · Alsanwy, Shehab et al. · indexed
335. Prediction of Velocities on Motorways by k-Means Clustering ↗ · 2008 · Asamer, Johannes et al. · indexed
336. A Review of HMM-Based Approaches of Driving Behaviors Recognition and Prediction · 2021 · Deng, Qi et al. · archived
337. Security Defense of Transportation Networks Against Cyberattacks: A Physics-Informed AI Approach · 2026 · Kim, Yongju et al. · archived
338. SignalGuru: Leveraging mobile phones for collaborative traffic signal schedule advisory ↗ · 2011 · Koukoumidis, Emmanouil et al. · indexed
339. Driver Behaviour Analysis Using Telematics Sensor Data and Deep Learning Models ↗ · 2025 · Yedilkhan, Didar et al. · indexed
340. Density-based clustering for road accident data analysis · 2018 · Alotaibi, Abdullah Shawan · archived
341. Collision Avoidance/Mitigation System: Motion Planning of Autonomous Vehicle via Predictive Occupancy Map · 2019 · Lee, Kibeom et al. · archived
342. Transferability of Community-Based Collision Prediction Models for Use in Road Safety Planning Applications ↗ · 2010 · Khondakar, Bidoura et al. · indexed
343. Predicting Traffic Crash Severity in Jeddah Using Machine Learning Techniques: A Data-Driven Approach to Road Safety ↗ · 2025 · Alanazi, Fayez et al. · indexed
344. 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
345. Road Accident Analysis and Prediction of Accident Severity by Using Machine Learning in Bangladesh ↗ · 2019 · Labib, Md. Farhan et al. · indexed
346. Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning · 2020 · Li, Wenqing et al. · archived
347. Comparative Analysis of Machine Learning-Based Approaches for Anomaly Detection in Vehicular Data ↗ · 2021 · Demestichas, Konstantinos et al. · indexed
348. Adaptive Driving Style Classification through Transfer Learning with Synthetic Oversampling ↗ · 2022 · Jardin, Philippe et al. · indexed
349. Data collection with "UYANIK": too much pain; but gains are coming ↗ · 2007 · Abut, H. et al. · indexed
350. 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
351. Vehicle Travel Time Estimation Using Sequence Prediction · 2020 · Gündüz, Gültekin et al. · archived
352. Vehicle Speed Estimation and Forecasting Methods Based on Cellular Floating Vehicle Data ↗ · 2016 · Lai, Wei-Kuang et al. · indexed
353. Improving Intelligent Systems with Explainable AI for Early Prediction and Analysis of Traffic Accidents ↗ · 2025 · Benfaress, Ilyass et al. · indexed
354. Path informed adaptive trend analyzer using Hilbert Huang transform for electric vehicle driving range prediction · 2026 · Aljafari, Belqasem et al. · archived
355. Personalized Adaptive Cruise Control via Gaussian Process Regression ↗ · 2021 · Wang, Yanbin et al. · indexed
356. Spatiotemporal representation of driving scenarios and classification using neural networks ↗ · 2017 · Gruner, Richard et al. · indexed
357. FARSA: Fully Automated Roadway Safety Assessment · 2018 · Song, Weilian et al. · archived
358. 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
359. Evaluating the Potential To Predict Activity Types from GPS and GIS Data ↗ · 2007 · McGowen, Patrick et al. · indexed
360. Personalized Energy Consumption Prediction of CAEVs With Personal Driving Cycle Selection ↗ · 2022 · Hong, Seokjoon et al. · indexed
361. Freeway truck travel time prediction for freight planning using truck probe GPS data · 2016 · Wang, Zun et al. · archived
362. Application of Machine Learning Techniques in Short-term Travel Time Prediction Using Multiple Data Sources · 2020 · Taghipour, Homa et al. · archived
363. Gaussian Process Regression for Tail Vehicle Departure Time Prediction at Signalized Intersections Using UAV Trajectory Data. ↗ · 2026 · Lu K et al. · indexed
364. Spatial big data analysis and artificial intelligence applications for transportation safety and network systems optimization ↗ · 2024 · Mussah, Abdul Rashid · indexed
365. RACH Traffic Prediction in Massive Machine Type Communications ↗ · 2025 · Mehri, Hossein et al. · indexed
366. Intelligent energy consumption estimation for electric vehicles: Business processes and services ↗ · 2014 · Asthenopoulos, Vasileios et al. · indexed
367. Interpretable machine learning models for predicting and explaining vehicle fuel consumption anomalies · 2022 · Barbado, Alberto et al. · archived
368. An Online Misbehavior Detection Model for Intelligent Transportation Systems ↗ · 2022 · Almalki, Sultan et al. · indexed
369. Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction · 2024 · Shuyang, Dong, et al. · archived
370. Identification of Social Aspects by Means of Inertial Sensor Data · 2020 · Bedogni, Luca et al. · archived
371. The Road Condition Classification Using Machine Learning Method Based on Vibration Measurement Data in Yogyakarta ↗ · 2025 · Hermawan, Muhammad Taufik et al. · indexed
372. Improving vehicle speed prediction transferability with network centrality ↗ · 2017 · Leodolter, Maximilian et al. · indexed
373. Recommendation for Ridesharing Groups Through Destination Prediction on Trajectory Data · 2019 · Tang, Lei et al. · archived
374. Eco-Driving Level Evaluation Model for Electric Buses Entering and Leaving Stops ↗ · 2025 · Lyu, Aihong et al. · indexed
375. Estimating energy consumption of a PHEV using vehicle and on-board navigation data ↗ · 2015 · Ourabah, Abdel-Djalil et al. · indexed
376. Addressing imbalanced data in predicting injury severity after traffic crashes: A comparative analysis of machine learning models ↗ · 2024 · Bazarnovi, Sadjad et al. · indexed
377. CAVeCTIR: Matching Cyber Threat Intelligence Reports on Connected and Autonomous Vehicles Using Machine Learning ↗ · 2022 · Raptis, George E. et al. · indexed
378. Urban Mobility Pattern Detection: Development of a Classification Algorithm Based on Machine Learning and GPS ↗ · 2024 · Molina-Campoverde, Juan José et al. · indexed
379. Freeway travel time forecast using artifical neural networks with cluster method ↗ · 2009 · Lee, Ying · indexed
380. Traffic Flow Prediction with Rainfall Impact Using a Deep Learning Method ↗ · 2017 · Jia, Yuhan et al. · indexed
381. Traffic congestion prediction using machine learning: Amman City case study ↗ · 2024 · Arabiat, Areen et al. · indexed
382. Addressing Polymorphic Attack Strategies with Misbehavior Detection for ITS ↗ · 2022 · Almalki, Sultan et al. · indexed
383. Modeling Arterial Travel Time with Limited Traffic Variables using Conditional Independence Graphs & State-Space Neural Networks ↗ · 2011 · Abu-Lebdeh, Ghassan et al. · indexed
384. Transfer Learning Based Long Short-Term Memory Car-Following Model for Adaptive Cruise Control ↗ · 2022 · Zhou, Jiazu et al. · indexed
385. The design and implementation of road condition warning system for drivers ↗ · 2019 · Teke, Mustafa et al. · indexed
386. A system for cloud-based deviation prediction of propulsion energy consumption for EVs ↗ · 2013 · Grubwinkler, Stefan et al. · indexed
387. Traffic Flow Prediction With Big Data: A Deep Learning Approach ↗ · 2014 · Lv, Yisheng et al. · indexed
388. By train or by car? Detecting the user's motion type through smartphone sensors data · 2012 · Bedogni, Luca et al. · archived
389. Exploring the Potentials of Open-Source Big Data and Machine Learning in Shared Mobility Fleet Utilization Prediction · 2023 · Abouelela, Mohamed et al. · archived
390. Predictive routing for autonomous mobility-on-demand systems with ride-sharing ↗ · 2017 · Alonso–Mora, Javier et al. · indexed
391. A Novel Closed-Loop System for Vehicle Speed Prediction Based on APSO LSSVM and BP NN ↗ · 2021 · Guo, Xiaokai et al. · indexed
392. Application of Long Short Term Memory Networks for Long- and Short-term Bus Travel Time Prediction ↗ · 2021 · Osman, Osama et al. · indexed
393. Prediction of Radio Signal Failures of Communication Based Train Operating Systems by Machine Learning Methods · 2024 · Arslan, Burak et al. · archived
394. LiDAR-Based Predictive Cruise Control ↗ · 2020 · Alzu'bi, Hamzeh et al. · indexed
395. Smartphone-Based Pavement Roughness Estimation Using Deep Learning with Entity Embedding ↗ · 2020 · Aboah, Armstrong et al. · indexed
396. Predicting network flows from speeds using open data and transfer learning · 2023 · Mahajan, Vishal et al. · archived
397. FAFGAN: A Fuzzy-Aware Fuel Generative Adversarial Network Approach to Road-level Fuel Estimation Considering Drive-style ↗ · 2026 · Qian, Yu et al. · indexed
398. Novel road classifications for large scale traffic networks ↗ · 2010 · Toplak, Werner et al. · indexed
399. Predicting Homebound Status in US Older Adults Using Data From the National Health and Aging Trends Study ↗ · 2025 · Davoudi, Anis et al. · indexed
400. Research method of vehicle rollover mechanism under critical instability condition ↗ · 2019 · Li, Bo et al. · indexed
401. Field-Based Prediction Models for Stop Penalty in Traffic Signal Timing Optimization ↗ · 2021 · Alshayeb, Suhaib et al. · indexed
402. Real-Time Vehicle Roll Angle Estimation Based on Neural Networks in IoT Low-Cost Devices · 2018 · Guzmán, Javier García et al. · archived
403. WEKA-based machine learning for traffic congestion prediction in Amman City · 2024 · Arabiat, Areen et al. · archived
404. A Neural Network Based Traffic-Flow Prediction Model ↗ · 2010 · Çetiner, B. Gültekin et al. · indexed
405. Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach · 2025 · Al-Khateeb, Ghazi et al. · archived
406. The Shrewd Provoke of DATA Analytics in Automotive Industry ↗ · 2022 · Samaskani, Samsudeen S · indexed
407. Calculation of Driving Parameters for GOA4 Signaling System using Machine Learning Methods · 2022 · Akçay, Mehmet Taciddin et al. · archived
408. Risk Assessment of Obstacle Collision for UAVs under off-nominal conditions · 2020 · Banerjee, Portia et al. · archived
409. 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
410. Travel Time Prediction for Urban Networks: the Comparisons of Simulation-based and Time-Series Models ↗ · 2010 · Hu, Ta‐Yin et al. · indexed
411. Pivot point estimation based advanced ship predictor evaluation with vessel maneuvers under sea trial conditions ↗ · 2025 · Wang, Yufei et al. · indexed
412. Performance Improvement of Traffic Flow Prediction Model using Combination of Support Vector Machine and Rough Set · 2017 · Deshpande, Minal et al. · archived
413. Particle swarm optimization-based collision avoidance · 2019 · İNAN, Timur et al. · archived
414. Heterogeneous urban traffic data and their integration through kernel-based interpolation · 2016 · Chow, Andy · archived
415. Study Estimating hourly traffic flow using Artificial Neural Network: A M25 motorway case · 2023 · Turki, Ahmed Ibrahim et al. · archived
416. Predicting Traffic Data in GIS using Different Neural Network Methods · 2022 · Ghasempoor, Zeynab et al. · archived
417. Data-driven transfer learning framework for estimating on-ramp and off-ramp traffic flows ↗ · 2025 · Ma, Xiaobo et al. · indexed
418. An Automated Framework for Deriving Intersection Coordination Plans ↗ · 2021 · Mahajan, Dhruv et al. · indexed
419. Comparison of different hyperparameter optimization methods on driving behavior recognition · 2024 · David, Ruth et al. · archived
420. 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
421. Prediction and Privacy Scheme for Traffic Flow Estimation on the Highway Road Network ↗ · 2022 · Akallouch, Mohammed et al. · indexed
422. Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning ↗ · 2019 · Zhang, Weibin et al. · indexed
423. Optimal deep neural network based road traffic management system for Internet of Things based smart city environment. · 2026 · Almejalli, KA · archived
424. Scalable Traffic Flow Forecasting Using Floating Car Data, Clustering, and Deep Learning Models ↗ · 2026 · Oliveira, Thamires de Souza et al. · indexed
425. Predicting the travel time of arterial traffic using particle filter with speed matrix · 2018 · Qiangrong, Yang et al. · archived
426. Hybrid Recurrent Neural Network Modeling for Traffic Delay Prediction at Signalized Intersections Along an Urban Arterial · 2022 · Subramaniyan, Arun Bala et al. · archived
427. Big Data Analytics in Intelligent Transportation Systems: A Survey ↗ · 2018 · Zhu, Li et al. · indexed
428. Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction ↗ · 2017 · Ma, Xiaolei et al. · indexed
429. Systematic Development of Intelligent Systems for Public Road Transport ↗ · 2016 · García, Carmelo et al. · indexed
430. Short-term traffic flow prediction with LSTM recurrent neural network ↗ · 2017 · Kang, Danqing et al. · indexed
431. Fast map matching, an algorithm integrating hidden Markov model with precomputation ↗ · 2017 · Yang, Can et al. · indexed
432. Intelligent condition prediction model for bridge infrastructure based on evaluating machine learning algorithms ↗ · 2024 · Abu Dabous, Saleh et al. · indexed
433. A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability ↗ · 2021 · Ullah, Irfan et al. · indexed
434. Short-term traffic flow prediction using seasonal ARIMA model with limited input data · 2015 · Kumar, S. Vasantha et al. · archived
435. A Practical and Cost-Effective Combination of GPS Data and Machine Learning Tools for Detecting Transportation Modes · 2025 · Jachero, Bryan et al. · archived
436. Prediction of Pavement Overall Condition Index Based on Wrapper Feature-Selection Techniques Using Municipal Pavement Data ↗ · 2023 · Adesunkanmi, Rahmat et al. · indexed
437. An Improved K-nearest Neighbor Model for Short-term Traffic Flow Prediction ↗ · 2013 · Zhang, Lun et al. · indexed
438. A Statistical and Machine Learning Analysis of the Significant Features of PPPoE Sessions for Quality Monitoring ↗ · 2025 · Zhunussov, Ayan et al. · indexed
439. Maintenance system of semi-trailer and risk priority number · 2019 · Barta, Dalibor et al. · archived
440. Vehicle Delay Estimation at Signalized Intersections Using Machine Learning Algorithms ↗ · 2021 · Bagdatli, Muhammed Emin Cihangir et al. · indexed
441. Application of Artificial Neural Networks in Vehicles’ Design Self-Diagnostic Systems for Safety Reasons ↗ · 2017 · Yurii, Katsuba et al. · indexed
442. Route-Based Online Energy Management of a PHEV and Sensitivity to Trip Prediction · 2014 · Karbowski, Dominik et al. · archived
443. Parametric Predictions for Pure Electric Vehicles ↗ · 2021 · Adedeji, Bukola Peter · indexed
444. Two-Stream Networks for COPERT Correction Model with Time-Frequency Features Fusion ↗ · 2023 · Xu, Zhenyi et al. · indexed
445. PROVIDING A WEB-BASED PLATFORM BASED ON PREDICTED WEIGHTS FROM EXISTING CONDITIONS · 2020 · Arandian, Navid et al. · archived
446. A Sequence-Based Hybrid Ensemble Approach for Estimating Trail Pavement Roughness Using Smartphone and Bicycle Data ↗ · 2024 · Alatoom, Yazan Ibrahim et al. · indexed
447. Predictive Modeling of Urban Travel Demand Using Neural Networks and Regression Analysis ↗ · 2025 · Çolak, Muhammed Ali et al. · indexed
448. Identification of Bridge Key Performance Indicators Using Survival Analysis for Future Network-Wide Structural Health Monitoring ↗ · 2020 · Stevens, Nicola-Ann et al. · indexed
449. Application of Gaussian Noise for Increased Robustness in Deep Learning Models for Trajectory Prediction in Autonomous Driving ↗ · 2025 · Petkar, Raj et al. · indexed
450. Combining weather condition data to predict traffic flow: a GRU‐based deep learning approach ↗ · 2018 · Zhang, Da et al. · indexed
451. Car Price Prediction using Machine Learning Techniques · 2019 · Gegic, Enis et al. · archived
452. Reinforcement Learning-designed LSTM for Trajectory and Traffic Flow Prediction ↗ · 2021 · Karimzadeh, Mostafa et al. · indexed
453. 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
454. Intelligent Asset Management for Improved Mobility: Technology Transfer for South Carolina · 2024 · Ziehl, Paul et al. · archived
455. 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
456. Scaling traffic variables from sensors sample to the entire city at high spatiotemporal resolution with machine learning: applications to the Paris megacity · 2024 · Bonnemaizon, Xavier et al. · archived
457. Enhancing Traffic Accident Severity Prediction Using ResNet and SHAP for Interpretability ↗ · 2024 · Benfaress, Ilyass et al. · indexed
458. Network traffic analysis and bandwidth forecasting for using Meta’s Prophet: a case study · 2026 · Isaac, Yusuf Onimisi et al. · archived
459. Adaptive Spatio-Temporal Federated Learning for Traffic Flow Prediction: Framework and Aggregation Approaches Evaluation ↗ · 2026 · Alsehaimi, Basma et al. · indexed
460. Data fusion-based traffic prediction and software decision support for recreational suburban roads · 2026 · Afandizadeh, Shahriar et al. · archived
461. Track Pairs Collision Detection with Applications to Ship Collision Risk Assessment ↗ · 2022 · Shi, Jiahui et al. · indexed
462. A unified framework for joint mobility prediction and object profiling of drones in UAV networks · 2018 · Han, Peng et al. · archived
463. 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
464. Parsimonious Random-Forest-Based Land-Use Regression Model Using Particulate Matter Sensors in Berlin, Germany ↗ · 2024 · Jagatha, Janani Venkatraman et al. · indexed
465. Hybrid machine learning and optimisation method to solve a tri‐level road network protection problem ↗ · 2018 · Kaviani, Arash et al. · indexed
466. Finite element model for partial differential equations in optimization of vehicle safety collision problem ↗ · 2024 · Zhang, Min · indexed
467. A NEURAL NETWORK NOISE PREDICTION MODEL FOR TEHRAN URBAN ROADS · 2018 · Mansourkhaki, Ali et al. · archived
468. Comparative analysis of used car price evaluation models ↗ · 2017 · Chen, Chuancan et al. · indexed
469. Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids ↗ · 2025 · Balada, Christoph et al. · indexed
470. Developing a chaotic pattern of dynamic Hazmat routing problem ↗ · 2013 · Mahmoudabadi, Abbas et al. · indexed
471. Spatio-temporal nowcasting of local severe weather events with deep neural networks · 2022 · Chkeir, Sandy et al. · archived
472. Machine Learning-Driven Prediction of EV Charging Behavior for Renewable and Grid Optimization ↗ · 2026 · Almomani, Omar et al. · indexed
473. Convolutional Neural Network-Based Approximation of Coverage Path Planning Results for Parking Lots ↗ · 2023 · Kriščiūnas, Andrius et al. · indexed
474. Prediction of Unpaved Road Conditions Using High-Resolution Optical Satellite Imagery and Machine Learning ↗ · 2023 · Workman, Robin et al. · indexed
475. Fuzzy Risk Evaluation and Collision Avoidance Control of Unmanned Surface Vessels ↗ · 2021 · Chen, Yung-Yue et al. · indexed
476. Prediction of prices for used car by using regression models ↗ · 2018 · Monburinon, Nitis et al. · indexed
477. Real-Time Dynamic Transit Signal Priority Optimization for Coordinated Traffic Networks Using Genetic Algorithms and Artificial Neural Networks ↗ · 2014 · Ghanim, Mohammad et al. · indexed
478. An Automated Assessment Technique for Pavement Defects Using a Laser Scanner and Deep Machine Learning · 2025 · Al-Mistarehi, Bara' et al. · archived
479. 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
480. 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
481. Towards Better Predictive Models: The Role of Density in Pedestrian Trajectory Predictions ↗ · 2024 · Korbmacher, Raphael et al. · indexed
482. Backward Path Growth for Efficient Mobile Sequential Recommendation · 2014 · Huang, Jianbin et al. · archived
483. Securing an Electric Vehicle Using a Predictive Model · 2025 · Akshatha D · archived
484. Battery Parameter Estimation from Recorded Fleet Data ↗ · 2016 · Arvidsson, Rickard et al. · indexed
485. Price evaluation model in second-hand car system based on BP neural network theory ↗ · 2017 · Sun, Ning et al. · indexed
486. Investigating the influential factors in real-world energy consumption of battery electric vehicles ↗ · 2023 · Janpoom, Kittitat et al. · indexed
487. 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
488. Metaheuristic Optimization for Enhancing Performance of Predictive Vehicle Control Delay Estimation Model ↗ · 2025 · Ranpura, Pranjal et al. · indexed
489. A New Possibility to Work with Open Geospatial Data: Wherobots Cloud, WherobotsDB and Wherobots AI · 2025 · BADEA, Ana Cornelia et al. · archived
490. Enhanced CO2 Emissions Prediction Using Temporal Fusion Transformer Optimized by Football Optimization Algorithm ↗ · 2025 · Alhussan, Amel Ali et al. · indexed
491. Improving Load Forecasting of Electric Vehicle Charging Stations Through Missing Data Imputation ↗ · 2020 · Lee, Byungsung et al. · indexed
492. Charging Strategies for Electric Vehicles Using a Machine Learning Load Forecasting Approach for Residential Buildings in Canada ↗ · 2024 · Mohsenimanesh, Ahmad et al. · indexed
493. The use of deep recurrent neural networks to predict performance of photovoltaic system for charging electric vehicles ↗ · 2021 · Małek, Arkadiusz et al. · indexed
494. Machine Learning-Based State-of-Charge Prediction for Electric Bus Fleet: A Critical Analysis ↗ · 2025 · Volturno, Simone et al. · indexed
495. 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
496. Dynamic thermal modeling and application of electrical machine in hybrid drives ↗ · 2014 · Huang, Zhe et al. · indexed
497. Optimizing Electric Vehicle Charging Infrastructure through Machine Learning: A Study of Charging Patterns and Energy Consumption · 2024 · Alsarhan, Ayoub et al. · archived