Vehicle Rollover: Assessing the Relative Importance of Risk Factors With Crash Scenario Analysis

A. Donelson, Karuna Ramachandran, M. S. Davis
{"title":"Vehicle Rollover: Assessing the Relative Importance of Risk Factors With Crash Scenario Analysis","authors":"A. Donelson, Karuna Ramachandran, M. S. Davis","doi":"10.1115/imece1996-0699","DOIUrl":null,"url":null,"abstract":"\n Most problems that would benefit from motor vehicle risk analysis involve questions about the importance of design features or other characteristics of vehicles relative to factors related to drivers, driving environments, and types of collisions. Outcomes of motor vehicle accidents result from interactions among several or more pre-crash and at-crash factors. The inherent complexity of motor vehicle accidents often defeats traditional approaches to multivariate regression analysis. This paper introduces a new technique called crash scenario analysis. Rather than treating many causal factors as discrete variables, combinations of factors define crash scenarios. A single variable (scenario risk) measures the likelihood of crash outcomes for vehicles involved in each unique scenario. The authors applied crash scenario analysis to vehicle rollover and used logistic regression to estimate the importance of vehicular factors relative to scenario risk. Findings indicated that scenario risk was a much stronger predictor of rollover in fatal crashes than vehicle static stability factor (T/2H).","PeriodicalId":334155,"journal":{"name":"Safety Engineering and Risk Analysis","volume":"137 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Safety Engineering and Risk Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/imece1996-0699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Most problems that would benefit from motor vehicle risk analysis involve questions about the importance of design features or other characteristics of vehicles relative to factors related to drivers, driving environments, and types of collisions. Outcomes of motor vehicle accidents result from interactions among several or more pre-crash and at-crash factors. The inherent complexity of motor vehicle accidents often defeats traditional approaches to multivariate regression analysis. This paper introduces a new technique called crash scenario analysis. Rather than treating many causal factors as discrete variables, combinations of factors define crash scenarios. A single variable (scenario risk) measures the likelihood of crash outcomes for vehicles involved in each unique scenario. The authors applied crash scenario analysis to vehicle rollover and used logistic regression to estimate the importance of vehicular factors relative to scenario risk. Findings indicated that scenario risk was a much stronger predictor of rollover in fatal crashes than vehicle static stability factor (T/2H).
车辆侧翻:用碰撞情景分析评估风险因素的相对重要性
从机动车风险分析中受益的大多数问题都涉及与驾驶员、驾驶环境和碰撞类型相关的因素有关的车辆设计特征或其他特征的重要性的问题。机动车事故的结果是几个或多个碰撞前和碰撞时因素相互作用的结果。机动车辆事故固有的复杂性常常使传统的多元回归分析方法失效。本文介绍了一种叫做碰撞场景分析的新技术。而不是将许多因果因素视为离散变量,因素的组合定义了崩溃场景。单一变量(场景风险)衡量每个独特场景中车辆碰撞结果的可能性。作者将碰撞情景分析应用于车辆侧翻,并使用逻辑回归来估计车辆因素相对于情景风险的重要性。研究结果表明,在致命碰撞中,情景风险比车辆静态稳定系数(T/2H)更能预测侧翻。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信