Intersection crash analysis considering longitudinal and lateral risky driving behavior from connected vehicle data: A spatial machine learning approach

2025/07/30 by Lei Han, Mohamed Abdel-Aty, Mohamed Abdel‐Aty · 11 citations
Engineering · Medicine · #Artificial intelligence #Autonomous Vehicle Technology and Safety #Computer science #Crash #Engineering #Human factors and ergonomics #Injury prevention #Intersection (aeronautics) #Machine learning #Medical emergency #Medicine #Poison control #Traffic Prediction and Management Techniques #Traffic and Road Safety #Transport engineering

paper · doi:10.1016/j.aap.2025.108180

published in Accident Analysis & Prevention 220, 108180 (Elsevier BV)

openalex publication_date 2025/07/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Citations

• Spatial heterogeneity analysis of macro-level crashes using geographically weighted Poisson quantile regression
• Assessing the impact of traffic signal performance on crash frequency for signalized intersections along urban arterials: A random parameter modeling approach
• A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling
• The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis
• Do underserved and socially vulnerable communities observe more crashes? A spatial examination of social vulnerability and crash risks in Texas
• Changes in traffic crash patterns: Before and after the outbreak of COVID-19 in Florida
• Geographically weighted machine learning for modeling spatial heterogeneity in traffic crash frequency and determinants in US
• Integrating visual factors in crash rate analysis at Intersections: An AutoML and SHAP approach towards cycling safety

Cited by

• Measuring nonlinear relationships and spatial heterogeneity of influencing factors on traffic crash density using GeoXAI
• Measuring Nonlinear Relationships and Spatial Heterogeneity of Influencing Factors on Traffic Crash Density Using GeoXAI
• Segment level safety analysis using lane-changing behavior and driving volatility features from connected vehicle trajectories. [europepmc]