Accident Analysis and Prevention

Papers
(The H4-Index of Accident Analysis and Prevention is 49. 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 2020-09-01 to 2024-09-01.)
ArticleCitations
A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling193
Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP144
A systematic mapping review of surrogate safety assessment using traffic conflict techniques141
The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis139
Analyzing driver behavior under naturalistic driving conditions: A review132
The impact of the connected environment on driving behavior and safety: A driving simulator study112
Traffic accident detection and condition analysis based on social networking data109
Crash data augmentation using variational autoencoder108
Mandated societal lockdown and road traffic accidents106
E-Scooter safety: The riding risk analysis based on mobile sensing data94
A deep learning based traffic crash severity prediction framework94
Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections92
Cyber-attacks in the next-generation cars, mitigation techniques, anticipated readiness and future directions86
Automated traffic incident detection with a smaller dataset based on generative adversarial networks81
Coronavirus disease 2019: What could be the effects on Road safety?79
The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions75
Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles73
An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors72
Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain69
Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving66
A comparative study of state-of-the-art driving strategies for autonomous vehicles63
Roles of infrastructure and land use in bicycle crash exposure and frequency: A case study using Greater London bike sharing data61
The impact of COVID-19 on road safety in Canada and the United States60
Adolescent driving behavior before and during restrictions related to COVID-1960
Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles59
Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry58
A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw58
Analysis of the transition condition of rear-end collisions using time-to-collision index and vehicle trajectory data58
Observational-based study to explore pedestrian crossing behaviors at signalized and unsignalized crosswalks56
Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research55
A statistical study of railway safety in China and Japan 1990–202055
The adaptability and challenges of autonomous vehicles to pedestrians in urban China54
Risk perception and the warning strategy based on safety potential field theory53
A cooperative collision-avoidance control methodology for virtual coupling trains53
Automated vehicle crash sequences: Patterns and potential uses in safety testing53
Operation analysis of freeway mixed traffic flow based on catch-up coordination platoon53
Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece51
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 arterial51
A high-resolution trajectory data driven method for real-time evaluation of traffic safety51
Not gendered… but different from each other? A structural equation model for explaining risky road behaviors of female and male pedestrians50
The temporal stability of factors affecting driver injury severity in run-off-road crashes: A random parameters ordered probit model with heterogeneity in the means approach50
Examining imbalanced classification algorithms in predicting real-time traffic crash risk50
Comparing the risky behaviours of shared and private e-scooter and bicycle riders in downtown Brisbane, Australia50
A study of freeway crash risk prediction and interpretation based on risky driving behavior and traffic flow data50
Fifty Years of Accident Analysis & Prevention: A Bibliometric and Scientometric Overview49
Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with heterogeneity in means49
Predicting driver takeover performance in conditionally automated driving49
Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver’s driving styles49
Comparison of threshold determination methods for the deceleration rate to avoid a crash (DRAC)-based crash estimation49
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