crash database analysis

Analysis of pre-existing crash records (FARS, CRSS, GES, in-depth).

3635 papers carry this method tag, of 19870 that declare a method at all (62594 papers carry any topic). Absence here means undeclared, not absent.

Where this appears in the corpus

Most common topics

Papers

Newest 200 shown. For the full set, or to combine this with a topic, use the catalogue search.

  1. Crashes Involving Animals: Prevalence and Characteristics · 2026 · AAA Foundation for Traffic Safety
  2. Fatal Wrong-Way Crashes on Divided Highways, United States, 2014-2023 · 2026 · AAA Foundation for Traffic Safety
  3. Understanding the Increase in Fatal Hit-and-Run Crashes: Prevalences of Crashes, Injuries, and Deaths in the United States, 2017-2023 · 2026 · AAA Foundation for Traffic Safety et al.
  4. Analyzing roadway factors influencing the severity of non-motorized road users' crashes in Charlotte, North Carolina, USA · 2026 · Abdous, Fatemeh et al.
  5. Seasonal instability in the determinants of vulnerable road user crashes: a partially temporally constrained modeling approach · 2026 · Abdulrazaq, Mujeeb Abiola et al.
  6. Are we ready for highly automated vehicles? Evaluating automated driving systems’ safety and reliability using inverse probability weighted regression adjustment · 2026 · Adeel, Muhammad et al.
  7. ROAD TRAFFIC CRASHES IN ONDO STATE, NIGERIA A SPATIAL AND TEMPORAL ASSESSMENT (2015–2024) · 2026 · AJAYI, AJAYI
  8. A Multidimensional Spatial–Temporal and Econometric Framework for Pedestrian Safety and Injury Severity Analysis in Amman, Jordan · 2026 · Al Hasanat, Haitham A. et al.
  9. Examining the Influence of Traffic Enforcement on the Development of Traffic Safety Culture · 2026 · Laiou, Alexandra et al.
  10. Enhancing Crash Severity Prediction Using Explainable Ensemble Machine Learning and Deep Learning Approaches: A Case Study of Qassim · 2026 · Alfallaj, Sulaiman et al.
  11. 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.
  12. Clustering drivers by demographic and aberrant driving behavior: implications for traffic injury risk and safety interventions · 2026 · Abdolrazaghi, Alireza et al.
  13. 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.
  14. Cross-State Traffic Accident Risk Prediction Using Self-Supervised Representation Learning on the US-Accidents Dataset · 2026 · Alnami, Hani
  15. A Multi-Model Machine Learning Framework for Predicting and Ranking High-Risk Urban Intersections in Riyadh · 2026 · Altwaijri, Saleh et al.
  16. Investigating the factors of three-wheeled autorickshaw (3W-AR) crash severity: comparison of explainable machine learning models · 2026 · Ambo, Tefera Bahiru et al.
  17. The Role of Gaussian and Mean Curvature in 3D Highway Geometric Design and Safety · 2026 · Amiridis, Kiriakos et al.
  18. Hybrid dimension reduction and logit models for glare-induced crash severity · 2026 · Tusti, Anannya Ghosh et al.
  19. Alternative approaches to network-wide road safety assessment · 2026 · Andrášik, Richard et al.
  20. Exploring Temporal and Manufacturer-Specific Trends of Automated Vehicle Crashes Using Sequence of Events · 2026 · Andriola, Cesar et al.
  21. Accident Case Study Analysis of Developmental Automated Driving System Collison · 2026 · Appicharla, Sanjeev K.
  22. A hybrid statistical-machine learning methodology for addressing endogeneity and temporal instability in speeding-crash frequency relationships · 2026 · Asadi Ghalehni, Sajad et al.
  23. Modeling crash frequencies at highway-railroad grade crossings in Kentucky in the United States · 2026 · Banerjee, Arunabha et al.
  24. A multimodal data framework for motorcyclist injury severity on rural undivided roads · 2026 · Barua, Swastika et al.
  25. Data-Driven Analysis of Injury Severity in Pennsylvania Single-Motorcycle Lane-Departure Crashes · 2026 · Barua, Ratul et al.
  26. Temporal dynamics in barrier-involved crashes: Determining shifts in driving behavior and injury risk across multi-year periods. · 2026 · Barua, S et al.
  27. SAE Level 2 ADAS Performance in Specific Crash-Imminent Scenarios · 2026 · Beale, Gregory et al.
  28. Can Knowledge of Taxi Drivers’ Intentions to Commit Traffic Violations Predict Crash Frequency? · 2026 · Behnood, Hamid Reza et al.
  29. A Data-Driven Spatio-Temporal Video-Based Model for Pedestrian-Vehicle Risk Prediction · 2026 · BENKHADDA, Oumaima et al.
  30. Influence of seating position and crash-related factors on passenger injury severity in motor vehicles-involved crashes · 2026 · Atombo, Charles et al.
  31. Comparing Automated Driving Systems’ Safety Data with Human Benchmarks · 2026 · Chen, Joyce Jiayu et al.
  32. Personality traits as behavioral determinants of road traffic injury risk: a mechanism-informed cross-sectional analysis. · 2026 · Cheong A et al.
  33. Scenario analysis of HAZMAT transportation road traffic crashs on China's highways based on AcciNet-RFs. · 2026 · Dai, Zhangyin et al.
  34. A Multi-Objective Machine Learning Approach for Crash Severity Prediction under Class Imbalance in Less-Regulated Driving Environments · 2026 · Dangut, Maren Davi
  35. Crash Severity Prediction as Multi-Objective Decision Optimisation: A Cost-Sensitive Pareto-Efficient Ensemble for Less-Regulated Driving Environments · 2026 · Dangut, Maren Davi
  36. Front-Row Seatback Contact for Pediatric Occupants Seated in Rearward-Facing Infant Child Restraint Systems during Frontal Crashes · 2026 · Patton, Declan A. et al.
  37. The rising burden of non-motor vehicle crashes: An emerging challenge for road traffic injury prevention in China, 1997-2023. · 2026 · Deng R et al.
  38. Naturalistic Spatial Road Safety Analysis: The SmartMaps Project · 2026 · Nikolaou, Dimitrios et al.
  39. Comparative safety evaluation of ADAS-Equipped electric and gasoline vehicles using real-world crash data · 2026 · Ding, Shengxuan et al.
  40. A Misclassification Framework for Identifying Systematic Error in Pedestrian Crash Prediction: Evidence from Seattle, WA · 2026 · Douglas, Grace et al.
  41. What factors affect the match rates of police and emergency department data in Sweden’s road traffic crash database Strada? · 2026 · Forsman, Åsa et al.
  42. Examination of driver license renewal policies and older driver crash and injury rates by rurality · 2026 · Hamann, Cara J. et al.
  43. Accident Risk Analysis at Level Crossings Based on Physical and Operational Characteristics (Case Study: Crossing Points in Medan City Area) · 2026 · Hamdani, Aldi BJ et al.
  44. Modeling injury severity among motor vehicle occupants using a safe system-aligned, population-based framework: evidence from Ohio crash data (2017-2023). · 2026 · Harden, AL et al.
  45. Driving risk emerges from the required two-dimensional joint evasive acceleration · 2026 · Cheng, Hao et al.
  46. Evaluating Harsh Braking Events as a Surrogate Measure of Crash Risk Using Connected-Vehicle Telematics · 2026 · Hossain, Md Tufajjal et al.
  47. Event-Level Road Crash Severity Assessment Using Calibrated Risk Scoring · 2026 · Hossain, Md Shahadat
  48. Extreme heat disproportionately increases severe road traffic crashes in high conflict settings and among vulnerable road users in California. · 2026 · Hsu, Cheng-Kai et al.
  49. Linking Oregon Driver Records and Crash Data to Evaluate Interventions and Mitigate Driver Risk · 2026 · Hurwitz, David et al.
  50. Driver fatigue: crashes, the law, and traffic police officers’ experiences and views · 2026 · Radun, Igor et al.
  51. Factors Influencing Motorcycle Crash Risk and Accident Prediction Ability: The Role of Hazard Perception Training in Thailand · 2026 · INMOR, Thanchanok et al.
  52. Identifying Meteorological Determinants Associated with Roadway Crash Severity in Dhaka Metropolitan Area of Bangladesh: An Econometric Analysis over a Decade · 2026 · Islam, Nazmul et al.
  53. Evaluation of association between observed driving speeds and the occurrence of crashes using naturalistic driving study data · 2026 · Ivan, John N. et al.
  54. Risk Factor Analysis of Single Motorcycle Accidents in Road Traffic · 2026 · Kozłowski, Edward et al.
  55. Assessment of Road Accidents and Safety Measures in Indian Transportation Systems · 2026 · Kuamr, Dayanand et al.
  56. A Comparative Safety Performance Evaluation of Automated Driving Systems and Advanced Driver Assistance Systems · 2026 · Kutela, Boniphace et al.
  57. Barrier Striping for the Reduction of Accidents · 2026 · Kutela, Boniphace et al.
  58. Machine Learning Based Meta-Analysis of IIHS Moderate Overlap Frontal Crash Test for Rear Seat Occupant Safety Performance · 2026 · Lalwala, Mitesh et al.
  59. Identifying policy-relevant traffic crash risk factors in Cheongju, South Korea using logistic regression and explainable machine learning. · 2026 · Lee, EJ et al.
  60. Contributing factors influencing injury severity in two-vehicle and multi-vehicle crashes: A comprehensive review of driver, vehicle, roadway, environmental, and crash characteristics · 2026 · Lendo, Nyato et al.
  61. Examining spatial heterogeneity in built environment and climate factors affecting motorcycle crashes. · 2026 · Li, Y et al.
  62. Do Crash-Risk Measures Measure Crash Risk? · 2026 · Liu, Zhangxin (Frank)
  63. 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.
  64. Assessing the Moderation Effects of Socioeconomic Factors in Predicting Severe Crash Outcomes Based on Road and Environment Characteristics: A Modeling Comparison · 2026 · Jafari, Mahsa et al.
  65. The Effects of Selected Crash Parameters and Traffic Volume on Crash Frequency (the Case of Bahirdar City, Ethiopia) · 2026 · Gashaw, Mamaru et al.
  66. Comparison of Bharat NCAP Crash Test Scenarios with Real Road Accidents in India · 2026 · Moennich, Joerg et al.
  67. Car Insurance: An Analysis of Risk Factors, Claim Behaviour And Global Car Insurance Frameworks · 2026 · Mohanraju, Bhargavi
  68. Effects of ADAS Availability on Crash Injury Outcomes: Corridor-Level Evidence from a Principal Arterial in Florida · 2026 · Mutalemwa, Gabriel Nickson et al.
  69. Modeling Farm Equipment Vehicle crash injury severity using random parameters logit and multi-class support vector machine in a developing country. · 2026 · Nasab, EJ et al.
  70. Influence of Advanced Driving Assistance Systems (ADAS) on Rear-End Crash Severity in Rural Ohio · 2026 · Ngereza, Abdul et al.
  71. Validation and analysis of real-world traffic accident black spots in a driving simulator environment · 2026 · Ünsalan, Kevser et al.
  72. Impaired Driving Tracking System · 2026 · Okyere, Dennis et al.
  73. Road traffic crash mortality in Southwest Cameroon: a multicenter hospital study. · 2026 · Otang, OT et al.
  74. Three modes, three profiles: Characterizing fatal crashes on e-scooters, e-bikes, and conventional bicycles in Sweden · 2026 · Pai, Rahul Rajendra et al.
  75. Driving Behaviour as a Predictor of Crash Probability and Severity: Insights from a Modified DBQ for Indian Car Drivers · 2026 · Pandey, Ashutosh et al.
  76. 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.
  77. Lighting conditions and injury severity in large truck lane departure crashes: evidence from a partially constrained modeling approach · 2026 · Rahman, Md. Moshiur et al.
  78. Reliability Analysis of the Empirical Bayes Method in Estimating Crash Frequency on Two-Lane, Two-Way Rural Highways · 2026 · Saedi, Hossein et al.
  79. Reliability-based assessment of road design features and crash risk using a socio-economic index for safety prioritization · 2026 · Saedi, Hossein et al.
  80. Collision Avoidance Effectiveness of an Automated Driving System Using a Human Driver Behavior Reference Model in Reconstructed Fatal Collisions · 2026 · Scanlon, John M. et al.
  81. Benchmarking Advanced Tabular AI Models for Classifying SAE Automation Levels in Crash Data · 2026 · Somvanshi, Shriyank et al.
  82. Learning-based methods for spatial road safety analysis using in-vehicle telematics data: A systematic review · 2026 · Paradiso, Simone et al.
  83. Older drivers' road traffic crashes and driver-impairing health conditions : Swedish national register-based epidemiological studies · 2026 · Skyving, Marie
  84. Predicting Crash Severity using Naturalistic Driving Data and Neural Networks · 2026 · Somvanshi, Shriyank et al.
  85. 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.
  86. Evaluating Risky Driving Behavior Using a Naturalistic Driving Dataset: A Hybrid Modelling Approach · 2026 · Theodoraki, Eleni Maria et al.
  87. Validation and Analysis of Real-World Traffic Accident Black Spots in a Driving Simulator Environment · 2026 · Unsalan, Kevser et al.
  88. Crash Pattern Heterogeneity in Automated Vehicles Across Varying Levels of Automation · 2026 · Usman, Sheikh Muhammad
  89. Uncovering crash narratives: enhancing safety reporting for underprotected road users in transit bus collisions · 2026 · Usman, Sheikh M. et al.
  90. Interpretable and robust tree-based methodology for imbalanced classification in driving safety assessment · 2026 · Vannucci, Giulia et al.
  91. 80+ year old belted driver fatalities in 2017–2023 CISS · 2026 · Viano, David C.
  92. Belted driver fatalities in oblique frontal crashes · 2026 · Viano, David C.
  93. Driving with Influence: Exploring Crash Factors of Automated Systems in Different Roadway Contexts · 2026 · Astle, W. Abram et al.
  94. Contributing Factors to Lane Departure Crashes: A Data-Driven Multi-Scale Identification Approach Leveraging Heterogeneous Data · 2026 · Wang, Shuyi et al.
  95. Evaluating the risk factors related to alcohol-impaired driving using the SHRP 2 naturalistic driving study · 2026 · Wang, Manhua et al.
  96. Exploring the Interactions of Factors Influencing Autonomous Vehicle Crash Severity Using Interpretable Machine Learning · 2026 · Wang, Xuekai et al.
  97. Improving our understanding of contributing factors in California level 4 autonomous vehicle crashes through latent class analysis and machine learning-SHAP interpretations · 2026 · Wang, Jiacheng et al.
  98. Lane departure on combined curves: driver heterogeneity, centrifugal risk, and crash prevention · 2026 · Wang, Xiaomeng et al.
  99. Road Attributes and Traffic Characteristics Effects on Motorcycle Safety · 2026 · Arumdyah Widiati et al.
  100. Practical validation of synthetic pre-crash scenarios · 2026 · Wu, Jian et al.
  101. How conservative driving behavior increases crash risk: Understanding the systemic safety impacts of older drivers in mixed traffic flows · 2026 · Xue, Kaiyue et al.
  102. A Multi-dimensional Attention-based Framework for Personalized Driver Fatigue Assessment for Proactive Commercial-vehicle Crash Prevention · 2026 · Yang, Jiayu et al.
  103. Resilient road safety modeling through spatially disaggregated explainable AI. · 2026 · Ye H et al.
  104. 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.
  105. 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.
  106. Uncovering Probabilistic Crash Risk Among Coach Drivers Using a Bayesian Network Based on Violation and Crash Records · 2026 · Zhou, Yanru et al.
  107. WITHIN-CRASH CRANIOCERVICAL DRIVER-PASSENGER DISCORDANCE IN FATAL FRONTAL CRASHES · 2026 · Zozulia, Vitalii et al.
  108. Examining the Pre-Crash Circumstances Leading to Pedestrian Fatalities · 2025 · AAA Foundation for Traffic Safety
  109. Examining Traffic Safety across Communities: A National Perspective and Case Studies in Arizona, Maryland, North Carolina, and Oregon · 2025 · AAA Foundation for Traffic Safety
  110. Pedestrian Fatalities on Urban Arterial Roads at Night: An In-Depth Crash Analysis and Three Case Studies · 2025 · AAA Foundation for Traffic Safety
  111. Social and Infrastructure Factors Shaping Road Safety: A Multi-Level Analysis of Crashes in Ohio, Texas, and Washington · 2025 · AAA Foundation for Traffic Safety
  112. The Safety Impact of Road Debris: Updated Prevalences of Crashes, Injuries, and Deaths in the United States, 2018–2023 · 2025 · AAA Foundation for Traffic Safety
  113. Crash Severity Prediction in Cold Regions Using Machine Learning: Integrating Weather, Lighting, and Road Surface Conditions · 2025 · Abaza, Osama
  114. Income-Based Disparities in Fatal Interstate Crashes: An Association Rule Analysis of Contributing Factors from the NHTSA FARS Dataset · 2025 · Abbaszadeh Lima, Mohammad Reza et al.
  115. Random Forest Screening and Association Rule Mining for Crash Pattern Discovery · 2025 · Abbaszadeh Lima, Mohammad Reza et al.
  116. A strategic framework for road safety analysis in the connected and autonomous vehicle era · 2025 · Siddiqui, Abdul Basith et al.
  117. Understanding Driving Behaviors and Traffic Crashes among University Commuter Drivers · 2025 · Alshehri, Abdulaziz H.
  118. Development and application of a risk analysis methodology for road traffic accidents · 2025 · Abdulrahman, Radfan et al.
  119. Assessing the factors associated with pedestrian injury in motorcycle-pedestrian crashes in Ghana · 2025 · Adanu, Emmanuel Kofi et al.
  120. How does distraction affect cyclists’ severe crashes? A hybrid CatBoost-SHAP and random parameters binary logit approach · 2025 · Agheli, Ali et al.
  121. Development of Linear Programming Model for Effective Budget Allocation for Road Accident Reduction in Road Management · 2025 · Ajayeoba, A. O. et al.
  122. Analyzing feature importance for older pedestrian crash severity: A comparative study of DNN models, emphasizing road and vehicle types with SHAP interpretation · 2025 · Akter, Rocksana et al.
  123. Factors Associated with Human-Controlled Motor Vehicle Fatal Crashes in Urban Area Using Fatality Ratio · 2025 · Akuh, Raymond et al.
  124. Improving the Efficiency and Quality of Road Crashes Data in the Sultanate of Oman: Evidence-Based Recommendations · 2025 · Al Aamri, Amira et al.
  125. Crash Data Transformation: Applying Generative AI to Standardize and Improve Freeway Incident Reporting · 2025 · Alam, MD Didarul et al.
  126. MRI-Copula: A Hybrid Copula–Machine Learning Framework for Multivariate Risk Indexing in Urban Traffic Safety · 2025 · Alanazi, Fayez et al.
  127. Developing Region-Specific Safety Performance Functions for Intercity Roads in Saudi Arabia · 2025 · Alarifi, Saif et al.
  128. Investigating the Safety of Run‐Off‐the‐Road Vehicles on Vertical and Horizontal Curves With the Foreslope Using Multiple Regression Analysis · 2025 · Kordani, Ali Abdi et al.
  129. Pedestrian and Bike Rider Crashes on National Highway: A Unique Case of Pakistan · 2025 · Ali Shah, Muhammad Zafar et al.
  130. Performance Evaluation of Safe Mobility for Life Coalition’s Outreach Activities to Benefit Aging Road Users · 2025 · Alluri, Priyanka et al.
  131. Capturing-Recapturing of Road Traffic Death and Injury Estimation · 2025 · Almadani, Hashim MN
  132. Global Road Traffic Fatalities and Injuries · 2025 · Almadani, Hashim MN
  133. International Traffic Injury Databases · 2025 · Almadani, Hashim MN
  134. Linking and Sampling Efforts in Predicting Road Traffic Crash Population · 2025 · Almadani, Hashim MN
  135. Underreporting of Road Traffic Casualties · 2025 · Almadani, Hashim MN
  136. Evaluating the efficiency of spatial-geographical models for vehicle crash frequency estimation: A case study on the urban road network of hamadan province · 2025 · Almasi, Seyed Ahmadreza
  137. Assessing Injury-Severity Outcomes in Wet-Pavement Conditions: Exploring the Impact of Pavement Skid Resistance through Temporal Analysis with Random Parameters and Heterogeneity in Means and Variances · 2025 · Alnawmasi, Nawaf et al.
  138. Understanding the effects of underreporting on injury severity estimation of single-vehicle motorcycle crashes: A hybrid approach incorporating majority class oversampling and random parameters with heterogeneity-in-means · 2025 · Alnawmasi, Nawaf et al.
  139. Impact of Variable Speed Limits on Crash Frequency and Crash Rate: Stimulation by Flow Rate and Percentage of Heavy Vehicles · 2025 · Al-Nuaimi, Atheer N. et al.
  140. Inclusive Investigation of Health and Safety Management in Temporary Road Work Zone · 2025 · Alqahtani, Fahad K. et al.
  141. Truck Accident Prediction and Risk Factors Analysis in Jordan: A Machine Learning Approach · 2025 · Al-Tarawneh, Mu’ath
  142. Safety evaluation in the weaving segment between minor roads and U-turns on arterial roadways · 2025 · Amani, Kimiya et al.
  143. Are the speed-crash models applicable for low speeds? · 2025 · Ambros, Jiří et al.
  144. Temporal and Demographic Analysis of Fatal and Serious Injury Road Crashes among Drivers in Namibia · 2025 · Ambunda, Robert et al.
  145. Pedestrian Injuries due to Single and Collision Accidents in Sweden’s Road Traffic Environment - Investigating the Magnitude, Risk Factors, and Potential Solutions · 2025 · Amin, Khabat
  146. Spatial econometric models to understand factors affecting older drivers at accident hotspots · 2025 · Amin, Shohel Reza et al.
  147. The Role of Gaussian and Mean Curvature in 3-D Highway Geometric Design and Safety · 2025 · Amiridis, Kiriakos et al.
  148. Effects of Trucking Regulatory Relaxations on Freight Safety in Oregon · 2025 · Anderson, Jason C. et al.
  149. A Model for the Crash Occurrence in Unexpected Incidents · 2025 · Anna, Pouliou et al.
  150. Analyzing Acceptance of Reduced Speed Limits on Greek Motorways: A Survey · 2025 · Kontaxi, Armira et al.
  151. Investigating Contributing Factors to Fatal Non-Intersection Crashes Involving Elderly Pedestrians Using Association Rule Mining · 2025 · Asiedu, Ernest Nsong et al.
  152. Examining fatal and non-fatal injuries of drivers in single-vehicle-involved crashes on urban roadways using random parameter logit model · 2025 · Atombo, Charles et al.
  153. Introduction to special issue—Emerging applications of road incidents and driver behaviour data analysis in road safety modelling and evaluation · 2025 · Mehran, Babak et al.
  154. Quantifying truck crash risk under the combined effects of multi-type aberrant driving behaviors: Two probabilistic approaches · 2025 · Baikejuli, Muladi et al.
  155. Safe System Research and Implementation: Final Report · 2025 · Banerjee, Ipsita et al.
  156. Types of Road Traffic Accidents and Emergency Medical Care · 2025 · Lenjani, Basri et al.
  157. Investigating the Effect of Subsistence Opportunities on Motor Vehicle Crash Frequency in Alaska · 2025 · Belz, Nathan P.
  158. Pedestrian and Bicyclist Safety – Literature Review · 2025 · Brookshire, Kristen et al.
  159. Influence of road environmental factors on traffic accidents involving vulnerable road users through negative binomial models · 2025 · Chen, Ying et al.
  160. Convenience or safety system? Crash rates of vehicles equipped with partial driving automation · 2025 · Cicchino, Jessica B.
  161. Freeways’ Road Safety Analysis Through Accident Database and Human Behavior · 2025 · Brasile, Claudia et al.
  162. Safety performance functions in a road environment with automated vehicles · 2025 · Coropulis, Stefano et al.
  163. Identifying Research Gaps Through Self-Driving Car Data Analysis · 2025 · Cummings, Mary L. et al.
  164. Analyzing Pedestrian–Automated Vehicle Crash Dynamics: A Comparative Study of Autonomous and Conventional Precrash Mode · 2025 · Das, Subasish
  165. Applying Mambaattention, Tabpfn, and Tabtransformers to Classify Sae Automation Levels in Crashes · 2025 · Das, Subasish et al.
  166. Integrating Empirical and Subjective Evidence on Young Drivers’ Risk Perceptions and Crash Factors · 2025 · Das, Subasish
  167. Impact of lighting conditions on nighttime crash severity among older and elderly drivers · 2025 · Das, Subasish
  168. Linking driver fatigue, safety rest area closures, and crash severity using cluster correspondence analysis · 2025 · Das, Subasish
  169. Pattern recognition in crash clusters involving vehicles with advanced driving technologies · 2025 · Das, Subasish
  170. Uncovering the role of restraint usage in driver ejection: a data mining investigation of fatal and injury crashes · 2025 · Das, Subasish
  171. A Safe System Approach to Setting Speed Limits Through the Development of Injury Modification Factors · 2025 · Dean, Morgan E. et al.
  172. A Systematic Review of GIS-Driven Road Traffic Accident Evaluation · 2025 · Deressa, Basha Fayissa et al.
  173. Assessing the safety effectiveness of advanced driver assistance systems · 2025 · Ding, Shengxuan et al.
  174. What Patterns Contribute to Autonomous Vehicle Crashes? A Study of Level 2 and 4 Automation via Association Rule Analysis · 2025 · Ding, Hongliang et al.
  175. Effect of Drivers Education on Traffic Safety: GDL-Mandated Comprehensive Driver Training Reduces Young Novice Drivers’ Involvement in Seriously Injurious and Fatal Crashes · 2025 · Dong, Xiaoxia et al.
  176. Abstract 4361592: State-Level Syncope Driving Restrictions and Crash Risk in Older Adults: A National Comparative Analysis · 2025 · Dreher, Luke et al.
  177. TMA Truck Safety · 2025 · Edara, Praveen K. et al.
  178. Impact of the COVID-19 Pandemic on Travel Mode Choices and Fatal Crash Rates · 2025 · Elsayed, Ahmed et al.
  179. A systematic review on GIS-based road traffic accidents analysis and road safety audit · 2025 · Endashaw, Destaw Kifile et al.
  180. Impact of Wind Turbine Distraction on Crash Severity: Assessment and Prediction Study · 2025 · Alhomaidat, Fadi et al.
  181. Investigating the Impact of the COVID-19 Pandemic on Traffic Crash Injury Outcomes among Different Demographic Groups · 2025 · Raha, Faria et al.
  182. Comparison of male and female SUV-driver injury rates in similar crashes · 2025 · Farmer, Charles M.
  183. Predictive Modeling of Crash Frequency on Mountainous Highways: A Mixed-Effects Approach Applied to a Brazilian Road · 2025 · de Carvalho, Fernando Lima et al.
  184. Traffic Control Device Analysis, Testing, and Evaluation Program: FY 2024 Activities · 2025 · Finley, Melisa D. et al.
  185. Truck Driver Safety: Factors Influencing Risky Behaviors on the Road—A Systematic Review · 2025 · Fonseca, Tiago et al.
  186. Investigating factors affecting injury severities of drivers with low route familiarity level in mountainous highways single-vehicle crashes under different lighting conditions · 2025 · Xue, Gang et al.
  187. 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.
  188. Assessing Risk of Collision with Fleet Telematics for Usage-Based Insurance: Case Study from South Korean Car Rental Operations · 2025 · Gentile, Davide et al.
  189. Comparability of driving automation crash databases · 2025 · Goodall, Noah J.
  190. Unlocking Forensics Data for Vehicles Involved in Motor Vehicle Crashes · 2025 · Grasso III, Charles et al.
  191. Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors · 2025 · Zimmer, Walter et al.
  192. Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset · 2025 · Zimmer, Walter et al.
  193. Towards Vision Zero: The Accid3nD Dataset · 2025 · Zimmer, Walter et al.
  194. Towards Vision Zero: The TUM Traffic Accid3nD Dataset · 2025 · Zimmer, Walter et al.
  195. In-Depth Analysis of Fatal Motorcycle Accidents—Case Study in Slovenia · 2025 · Tollazzi, Tomaž et al.
  196. Engineering Countermeasures to Mitigate Reckless Driving Behavior · 2025 · Guler, S. Ilgin et al.
  197. 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.
  198. Exploring contributing factors in single-vehicle truck crashes on rural roads: Accounting for unobserved heterogeneity and role of solar glare · 2025 · Habib, Muhammad Faisal et al.
  199. Prevalence and factors associated with road traffic crashes among truck drivers in Southeast Iran · 2025 · Habybabady, Raheleh Hashemi et al.
  200. Crash risk associated with eyes-off-road duration by road control type and intersection type · 2025 · Han, Shu et al.