A functional approach for characterizing safety risk of signalized intersections at the movement level: An exploratory analysis-Reference-Cited by-同舟云学术

A functional approach for characterizing safety risk of signalized intersections at the movement level: An exploratory analysis

Published:2021-12 Issue: Volume:163 Page:106446
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Yang Di,Ozbay Kaan,Xie Kun,Yang Hong,Zuo Fan

Publisher

Elsevier BV

Subject

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

Reference81 articles.

1. Highway safety manual;Aashto;AASHTO.,2010

2. Identifying intersection-related traffic crashes for accurate safety representation. Institute of Transportation Engineers;Abdel-Aty;ITE J.,2009

3. Impacts of signal-related characteristics on crash frequency at urban signalized intersections;Agbelie;J. Transport. Safet. Secur.,2015

4. Incorporating speed in a traffic conflict severity index to estimate left turn opposed crashes at signalized intersections;Anarkooli;Transp. Res. Rec.,2021

5. Bonferroni, C., 1936. Teoria statistica delle classi e calcolo delle probabilita. Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commericiali di Firenze 8, 3-62.

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