Accident Analysis and Prevention

(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. 500 papers]. The publications cover those that have been published in the past four years, i.e., from 2019-12-01 to 2023-12-01.)
Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis355
Real-time crash risk prediction on arterials based on LSTM-CNN166
A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling113
Safety of micro-mobility: Analysis of E-Scooter crashes by mining news reports108
Severity analysis for large truck rollover crashes using a random parameter ordered logit model106
A review of spatial approaches in road safety105
Influence of traffic congestion on driver behavior in post-congestion driving99
Mandated societal lockdown and road traffic accidents94
Traffic accident detection and condition analysis based on social networking data87
A systematic mapping review of surrogate safety assessment using traffic conflict techniques85
The impact of the connected environment on driving behavior and safety: A driving simulator study85
Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP85
Predicting real-time traffic conflicts using deep learning82
The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis80
How many crashes can connected vehicle and automated vehicle technologies prevent: A meta-analysis79
Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections78
Analyzing driver behavior under naturalistic driving conditions: A review76
Crash data augmentation using variational autoencoder73
Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach71
Coronavirus disease 2019: What could be the effects on Road safety?69
E-Scooter safety: The riding risk analysis based on mobile sensing data69
Automated traffic incident detection with a smaller dataset based on generative adversarial networks66
Highway crash detection and risk estimation using deep learning66
A deep learning based traffic crash severity prediction framework63
Investigating the injury severity of single-vehicle truck crashes in a developing country62
A priori acceptance of highly automated cars in Australia, France, and Sweden: A theoretically-informed investigation guided by the TPB and UTAUT61
A dual perspective on risk perception and its effect on safety behavior: A moderated mediation model of safety motivation, and supervisor’s and coworkers’ safety climate61
Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories60
Evaluating pedestrian vehicle interaction dynamics at un-signalized intersections: A proactive approach for safety analysis59
Application of association rules mining algorithm for hazardous materials transportation crashes on expressway58
Comprehensive safety assessment in mixed fleets with connected and automated vehicles: A crash severity and rate evaluation of conventional vehicles58
Exploring the who, what, when, where, and why of automated vehicle disengagements57
Exploring injury severity in head-on crashes using latent class clustering analysis and mixed logit model: A case study of North Carolina56
Cyber-attacks in the next-generation cars, mitigation techniques, anticipated readiness and future directions55
Safety climate: Systematic literature network analysis of 38 years (1980-2018) of research55
Understanding the discretionary lane-changing behaviour in the connected environment53
Mobile phone use among car drivers and motorcycle riders: The effect of problematic mobile phone use, attitudes, beliefs and perceived risk53
Analysis of the influence of human errors on the occurrence of coastal ship accidents in different wave conditions using Bayesian Belief Networks52
Adolescent driving behavior before and during restrictions related to COVID-1952
Do High Visibility Enforcement programs affect aggressive driving behavior? An empirical analysis using Naturalistic Driving Study data51
The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions51
Modelling braking behaviour and accident probability of drivers under increasing time pressure conditions50
Roles of infrastructure and land use in bicycle crash exposure and frequency: A case study using Greater London bike sharing data48
A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly drivers48
The adaptability and challenges of autonomous vehicles to pedestrians in urban China47
Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain46
Injury severity analysis of truck-involved crashes under different weather conditions46
Odds of culpability associated with use of impairing drugs in injured drivers in Victoria, Australia46