A Bayesian extreme value theory modelling framework to assess corridor-wide pedestrian safety using autonomous vehicle sensor data-Reference-Cited by-同舟云学术

A Bayesian extreme value theory modelling framework to assess corridor-wide pedestrian safety using autonomous vehicle sensor data

Published:2024-02 Issue: Volume:195 Page:107416
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Singh Sunny^ORCID,Ali Yasir^ORCID,Haque Md Mazharul

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

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3. Assessing traffic conflict/crash relationships with extreme value theory: Recent developments and future directions for connected and autonomous vehicle and highway safety research;Ali;Analytic Methods in Accident Research,2023

4. A Bayesian generalised extreme value model to estimate real-time pedestrian crash risks at signalised intersections using artificial intelligence-based video analytics;Ali;Analytic Methods in Accident Research,2023

5. Analysis of traffic conflicts and collisions;Allen;Transportation Research Record,1978

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3. Pedestrian crash risk analysis using extreme value models: New insights and evidence;Accident Analysis & Prevention;2024-08