Severity analysis of red-light-running-related crashes using structural equation modeling

Author:

Shaaban Khaled1,Gharraie Iman2,Sacchi Emanuele2,Kim Inhi3

Affiliation:

1. Department of Civil Engineering/Qatar Transportation and Traffic Safety Center, College of Engineering, Qatar University, Doha, Qatar

2. Department of Civil, Geological, and Environmental Engineering, University of Saskatchewan, Saskatoon, SK, Canada

3. Department of Civil Engineering, Monash University, Clayton Campus, Australia

Publisher

Informa UK Limited

Subject

Safety Research,Transportation

Reference39 articles.

1. Crash severity analysis of rear-end crashes in California using statistical and machine learning classification methods

2. Analysis of driver speeds under night driving conditions using a driving simulator

3. Structural Equations with Latent Variables

4. Bonneson, J., Brewer, M. & Zimmerman, K. (2001). Review and evaluation of factors that affect the frequency of red-light-running. FHWA/TX-02/4027-1 Texas Transportation Institute, College Station.

5. Bonneson, J., Zimmerman, K. & Brewer, M. (2003). Engineering countermeasures to reduce red-light running. FHWA/TX-03/4027-2 Texas Transportation Institute, College Station.

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Flashing Stop Signs vs. Traditional Stop Signs: An Investigation into Driver Compliance at All-Way Stop-Controlled Intersections;2024 Intermountain Engineering, Technology and Computing (IETC);2024-05-13

2. A causal inference analysis of injury severity in motorcyclist crashes in Brazilian highway databases;Journal of Transportation Safety & Security;2024-03-28

3. Severity analysis of red-light–running behavior at signalized intersections;Journal of Transportation Safety & Security;2023-07-17

4. Analyzing Urban Midblock Crash Severity Outcomes Using Proposed Three-Step Pattern Clustering;Journal of Transportation Engineering, Part A: Systems;2023-07

5. Modeling of Severity in Red-Light-Running Crashes Using Deep Learning Recognition;2023 Intermountain Engineering, Technology and Computing (IETC);2023-05-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3