3 papers
stat.AP2026
Learning from geometry-aware near misses to real-time COR: A corridor-wide grouped random parameters GEV framework
Mohammad Anis, Yang Zhou, Dominique Lord
Real-time corridor-wide crash-occurrence risk (COR) prediction is challenging because existing near-miss extreme value theory (EVT) models often oversimplify collision geometry, ne…
stat.AP2025
Pedestrian crash causation analysis near bus stops: Insights from random parameters Negative Binomial-Lindley model
Mohammad Anis, Srinivas R. Geedipally, Dominique Lord
Pedestrian safety remains a pressing concern near bus stops along urban transit, where frequent pedestrian-vehicle interactions occur. While prior research has primarily focused on…
cs.LG2025
Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen
Zihao Li, Xinyuan Cao, Xiangbo Gao +12
Traffic safety science has long been hindered by a fundamental data paradox: the crashes we most wish to prevent are precisely those events we rarely observe. Existing crash-freque…