Traffic Safety Analysis of Mountainous Freeway Tunnel Based on Hierarchical Negative Binomial Model
In order to analyze the impact of geometric design,traffic operation,and environmental factors on the frequency of crashes in mountainous freeway tunnels,data from 36 tunnel sections were collected,and a hierarchical negative binomial model was constructed within a Bayesian framework to analyze tunnel crash frequency.The results show that long tunnel sections are more prone to crashes,with more crashes occurring from the tunnel entrance to the middle section.Crash frequency significantly increases with greater changes in road curvature and slope,higher average daily traffic flow,and more foggy days.Additionally,poorer road skid resistance leads to more crashes.The study provides a theoretical basis for traffic management departments to develop safety improvement measures for tunnel sections.
Mountainous freewayTunnelCrash frequencyHierarchical negative binomial model
NETL
NSTL
万方数据
