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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…
stat.AP2024
Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models
Mohammad Anis, Sixu Li, Srinivas R. Geedipally +2
This study develops a real-time framework for estimating the risk of near-misses by using high-fidelity two-dimensional (2D) risk indicator time-to-collision (TTC), which is calcul…