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...

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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
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https://hdl.handle.net/2134/26039038.v1

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