A bi-level framework for real-time crash risk forecasting using artificial intelligence-based video analytics

This study proposes a bi-level framework for real-time crash risk forecasting (RTCF) for signalised intersections, leveraging the temporal dependency among crash risks of contiguous time slices. At the first level of RTCF, a non-stationary generalised extreme value (GEV) model is developed to estima...

Full description

Saved in:
Bibliographic Details
Main Authors: Fizza Hussain, Yasir Ali, Yuefeng Li, Md. Mazharul Haque
Format: Default Article
Published: 2024
Subjects:
Bi-level
Framework
Crash risk
Online Access:https://hdl.handle.net/2134/26039038.v1
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items