How many are enough?: Investigating the effectiveness of multiple conflict indicators for crash frequency-by-severity estimation by automated traffic conflict analysis-Reference-Cited by-同舟云学术

How many are enough?: Investigating the effectiveness of multiple conflict indicators for crash frequency-by-severity estimation by automated traffic conflict analysis

Published:2022-05 Issue: Volume:138 Page:103653
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

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

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference46 articles.

1. Aashto, 2018. Policy on geometric design of highways and streets, seventh ed. American Association of State Highway and Transportation Officials (AASHTO), Washington, DC.

2. A bivariate extreme value model for estimating crash frequency by severity using traffic conflicts;Arun;Anal. Methods Accid. Res.,2021

3. A systematic mapping review of surrogate safety assessment using traffic conflict techniques;Arun;Accid. Anal. Prev.,2021

4. A systematic review of traffic conflict-based safety measures with a focus on application context;Arun;Anal. Methods Accid. Res.,2021

5. Using extreme value theory for vehicle level safety validation and implications for autonomous vehicles;Asljung;IEEE Trans. Intell. Veh.,2017

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