A physics-informed road user safety field theory for traffic safety assessments applying artificial intelligence-based video analytics-Reference-Cited by-同舟云学术

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A physics-informed road user safety field theory for traffic safety assessments applying artificial intelligence-based video analytics

Published:2023-03 Issue: Volume:37 Page:100252
ISSN:2213-6657
Container-title:Analytic Methods in Accident Research
language:en
Short-container-title:Analytic Methods in Accident Research

Author:

Arun Ashutosh,Haque Md. Mazharul,Washington Simon,Mannering Fred

Funder

Argonne National Laboratory

University of California Berkeley

Publisher

Elsevier BV

Subject

Safety Research,Transportation

Reference72 articles.

1. An extreme value theory approach to estimate crash risk during mandatory lane-changing in a connected environment;Ali;Analytic Methods in Accident Research,2022

2. A bivariate extreme value model for estimating crash frequency by severity using traffic conflicts;Arun;Analytic Methods in Accident Research,2021

3. A systematic mapping review of surrogate safety assessment using traffic conflict techniques;Arun;Accident Analysis and Prevention,2021

4. A systematic review of traffic conflict-based safety measures with a focus on application context;Arun;Analytic Methods in Accident Research,2021

5. Transferability of multivariate extreme value models for safety assessment by applying artificial intelligence-based video analytics;Arun;Accident Analysis & Prevention,2022

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