Modeling and comparing injury severity of at-fault and not at-fault drivers in crashes
Author:
Publisher
Elsevier BV
Subject
Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics
Reference18 articles.
1. Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections;Abdelwahab;Transp. Res. Rec.,2001
2. Percepción del riesgo y de seguridad ante la conducción de vehículos;Blanco,2013
3. Injury severities of truck drivers in single-and multi-vehicle accidents on rural highways;Chen;Accid. Anal. Prev.,2011
4. Modeling two-vehicle crash severity by a bivariate generalized ordered probit approach;Chiou;Accid. Anal. Prev.,2013
Cited by 26 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. Investigating Factors Influencing Crash Severity on Mountainous Two-Lane Roads: Machine Learning Versus Statistical Models;Sustainability;2024-09-10
2. Young novice drivers’ road crash injuries and contributing factors: A crash data investigation;Traffic Injury Prevention;2024-06-25
3. Incorporating risky driving behaviour in the injury severity analysis of at-fault and not-at-fault novice driver involved crashes: a correlated random parameters logit model with heterogeneity in means;International Journal of Crashworthiness;2024-06-18
4. Aberrant behaviors of drivers involved in crashes and related injury severity: Are there variations between the major cities in the same country?;Journal of Safety Research;2024-06
5. Interpretable machine learning for evaluating risk factors of freeway crash severity;International Journal of Injury Control and Safety Promotion;2024-05-20
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