Accident Analysis and Prevention

Papers
(The H4-Index of Accident Analysis and Prevention is 46. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling161
Safety of micro-mobility: Analysis of E-Scooter crashes by mining news reports129
Influence of traffic congestion on driver behavior in post-congestion driving113
A systematic mapping review of surrogate safety assessment using traffic conflict techniques112
Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP109
The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis109
Analyzing driver behavior under naturalistic driving conditions: A review104
Traffic accident detection and condition analysis based on social networking data102
Mandated societal lockdown and road traffic accidents100
The impact of the connected environment on driving behavior and safety: A driving simulator study97
Crash data augmentation using variational autoencoder92
E-Scooter safety: The riding risk analysis based on mobile sensing data86
Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections86
A deep learning based traffic crash severity prediction framework78
Coronavirus disease 2019: What could be the effects on Road safety?75
Cyber-attacks in the next-generation cars, mitigation techniques, anticipated readiness and future directions73
Comprehensive safety assessment in mixed fleets with connected and automated vehicles: A crash severity and rate evaluation of conventional vehicles72
Automated traffic incident detection with a smaller dataset based on generative adversarial networks72
Application of association rules mining algorithm for hazardous materials transportation crashes on expressway70
The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions63
Mobile phone use among car drivers and motorcycle riders: The effect of problematic mobile phone use, attitudes, beliefs and perceived risk59
Roles of infrastructure and land use in bicycle crash exposure and frequency: A case study using Greater London bike sharing data58
Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles58
Injury severity analysis of truck-involved crashes under different weather conditions58
Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain57
Adolescent driving behavior before and during restrictions related to COVID-1957
An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors57
Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles52
A comparative study of state-of-the-art driving strategies for autonomous vehicles52
Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry51
The adaptability and challenges of autonomous vehicles to pedestrians in urban China51
Observational-based study to explore pedestrian crossing behaviors at signalized and unsignalized crosswalks51
A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw50
Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving50
The impact of COVID-19 on road safety in Canada and the United States50
Knowledge transfer for occupational health and safety: Cultivating health and safety learning culture in construction firms49
Investigating the safety and operational benefits of mixed traffic environments with different automated vehicle market penetration rates in the proximity of a driveway on an urban arterial49
Analysis of the transition condition of rear-end collisions using time-to-collision index and vehicle trajectory data49
Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research48
Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece48
Fifty Years of Accident Analysis & Prevention: A Bibliometric and Scientometric Overview48
Not gendered… but different from each other? A structural equation model for explaining risky road behaviors of female and male pedestrians47
A statistical study of railway safety in China and Japan 1990–202047
Examining imbalanced classification algorithms in predicting real-time traffic crash risk47
Analyzing traffic violation behavior at urban intersections: A spatio-temporal kernel density estimation approach using automated enforcement system data47
Operation analysis of freeway mixed traffic flow based on catch-up coordination platoon46
A cooperative collision-avoidance control methodology for virtual coupling trains46
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