OOIR: Observatory of International Research

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. 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.)

Article	Citations
Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis	355
Real-time crash risk prediction on arterials based on LSTM-CNN	166
A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling	113
Safety of micro-mobility: Analysis of E-Scooter crashes by mining news reports	108
Severity analysis for large truck rollover crashes using a random parameter ordered logit model	106
A review of spatial approaches in road safety	105
Influence of traffic congestion on driver behavior in post-congestion driving	99
Mandated societal lockdown and road traffic accidents	94
Traffic accident detection and condition analysis based on social networking data	87
A systematic mapping review of surrogate safety assessment using traffic conflict techniques	85
The impact of the connected environment on driving behavior and safety: A driving simulator study	85
Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP	85
Predicting real-time traffic conflicts using deep learning	82
The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis	80
How many crashes can connected vehicle and automated vehicle technologies prevent: A meta-analysis	79
Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections	78
Analyzing driver behavior under naturalistic driving conditions: A review	76
Crash data augmentation using variational autoencoder	73
Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach	71
Coronavirus disease 2019: What could be the effects on Road safety?	69
E-Scooter safety: The riding risk analysis based on mobile sensing data	69
Automated traffic incident detection with a smaller dataset based on generative adversarial networks	66
Highway crash detection and risk estimation using deep learning	66
A deep learning based traffic crash severity prediction framework	63
Investigating the injury severity of single-vehicle truck crashes in a developing country	62

A priori acceptance of highly automated cars in Australia, France, and Sweden: A theoretically-informed investigation guided by the TPB and UTAUT	61
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 climate	61
Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories	60
Evaluating pedestrian vehicle interaction dynamics at un-signalized intersections: A proactive approach for safety analysis	59
Application of association rules mining algorithm for hazardous materials transportation crashes on expressway	58
Comprehensive safety assessment in mixed fleets with connected and automated vehicles: A crash severity and rate evaluation of conventional vehicles	58
Exploring the who, what, when, where, and why of automated vehicle disengagements	57
Exploring injury severity in head-on crashes using latent class clustering analysis and mixed logit model: A case study of North Carolina	56
Cyber-attacks in the next-generation cars, mitigation techniques, anticipated readiness and future directions	55
Safety climate: Systematic literature network analysis of 38 years (1980-2018) of research	55
Understanding the discretionary lane-changing behaviour in the connected environment	53
Mobile phone use among car drivers and motorcycle riders: The effect of problematic mobile phone use, attitudes, beliefs and perceived risk	53
Analysis of the influence of human errors on the occurrence of coastal ship accidents in different wave conditions using Bayesian Belief Networks	52
Adolescent driving behavior before and during restrictions related to COVID-19	52
Do High Visibility Enforcement programs affect aggressive driving behavior? An empirical analysis using Naturalistic Driving Study data	51
The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions	51
Modelling braking behaviour and accident probability of drivers under increasing time pressure conditions	50
Roles of infrastructure and land use in bicycle crash exposure and frequency: A case study using Greater London bike sharing data	48
A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly drivers	48
The adaptability and challenges of autonomous vehicles to pedestrians in urban China	47
Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain	46
Injury severity analysis of truck-involved crashes under different weather conditions	46
Odds of culpability associated with use of impairing drugs in injured drivers in Victoria, Australia	46