A Bayesian generalised extreme value model to estimate real-time pedestrian crash risks at signalised intersections using artificial intelligence-based video analytics

Title
A Bayesian generalised extreme value model to estimate real-time pedestrian crash risks at signalised intersections using artificial intelligence-based video analytics
Authors
Keywords
-
Journal
Analytic Methods in Accident Research
Volume 38, Issue -, Pages 100264
Publisher
Elsevier BV
Online
2022-12-15
DOI
10.1016/j.amar.2022.100264

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