Real-time crash risk forecasting using Artificial-Intelligence based video analytics: A unified framework of generalised extreme value theory and autoregressive integrated moving average model

With the recent advancements in computer vision and artificial intelligence, traffic conflicts occurring at an intersection and associated traffic characteristics can be obtained at the granular level of a signal cycle in real-time. This capability enables the estimation of the real-time crash risk...

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Bibliographic Details
Main Authors: Fizza Hussain, Yasir Ali, Yuefeng Li, Md. Mazharul Haque
Format: Default Article
Published: 2023
Subjects:
Transportation, logistics and supply chains
Civil engineering
Applied mathematics
Real-time
Crash risk
Forecasting
Time-series models
Signalised intersections
Online Access:https://hdl.handle.net/2134/25112072.v1
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https://hdl.handle.net/2134/25112072.v1

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