OOIR: Observatory of International Research

Papers

(The H4-Index of Accident Analysis and Prevention is 47. 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 2020-11-01 to 2024-11-01.)

Article	Citations
A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling	201
The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis	149
Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP	148
A systematic mapping review of surrogate safety assessment using traffic conflict techniques	146
Analyzing driver behavior under naturalistic driving conditions: A review	139
Crash data augmentation using variational autoencoder	116
Traffic accident detection and condition analysis based on social networking data	110
E-Scooter safety: The riding risk analysis based on mobile sensing data	99
A deep learning based traffic crash severity prediction framework	96
Cyber-attacks in the next-generation cars, mitigation techniques, anticipated readiness and future directions	86
An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors	76
The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions	75
Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles	75
Waymo simulated driving behavior in reconstructed fatal crashes within an autonomous vehicle operating domain	70
Using eye-tracking to investigate the effects of pre-takeover visual engagement on situation awareness during automated driving	68
A comparative study of state-of-the-art driving strategies for autonomous vehicles	65
The impact of COVID-19 on road safety in Canada and the United States	61
Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry	60
A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw	59
Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research	57
Observational-based study to explore pedestrian crossing behaviors at signalized and unsignalized crosswalks	57
A statistical study of railway safety in China and Japan 1990–2020	56
Risk perception and the warning strategy based on safety potential field theory	54
Automated vehicle crash sequences: Patterns and potential uses in safety testing	53
A cooperative collision-avoidance control methodology for virtual coupling trains	53

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 arterial	53
Comparing the risky behaviours of shared and private e-scooter and bicycle riders in downtown Brisbane, Australia	53
Operation analysis of freeway mixed traffic flow based on catch-up coordination platoon	53
Analysis of the impact of COVID-19 on collisions, fatalities and injuries using time series forecasting: The case of Greece	52
A high-resolution trajectory data driven method for real-time evaluation of traffic safety	52
An integrated methodology for real-time driving risk status prediction using naturalistic driving data	51
Predicting driver takeover performance in conditionally automated driving	51
Not gendered… but different from each other? A structural equation model for explaining risky road behaviors of female and male pedestrians	51
Using long short term memory and convolutional neural networks for driver drowsiness detection	50
A study of freeway crash risk prediction and interpretation based on risky driving behavior and traffic flow data	50
Comparison of threshold determination methods for the deceleration rate to avoid a crash (DRAC)-based crash estimation	50
A real-time video surveillance system for traffic pre-events detection	50
Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with heterogeneity in means	50
Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: Insights from a data mining and binary logit regression approach	49
Electric scooters accidents: Analyses of two Swedish accident data sets	49
Risk-taking behaviors of e-scooter users: A survey in Paris	48
Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver’s driving styles	48
Safety analysis of freeway on-ramp merging with the presence of autonomous vehicles	48
Crash comparison of autonomous and conventional vehicles using pre-crash scenario typology	48
Factors influencing the injury severity of single-bicycle crashes	48
Older adults’ acceptance of fully automated vehicles: Effects of exposure, driving style, age, and driving conditions	47
A hierarchical bayesian peak over threshold approach for conflict-based before-after safety evaluation of leading pedestrian intervals	47
Impact of cyberattacks on safety and stability of connected and automated vehicle platoons under lane changes	47