Safety systems and vehicle generations: Analysis of accident and travel data collected using event data recorders

IF 2.4 3区 工程技术 Q3 TRANSPORTATION Journal of Transportation Safety & Security Pub Date : 2021-05-14 DOI:10.1080/19439962.2021.1919262
F. Deflorio, A. Carboni
{"title":"Safety systems and vehicle generations: Analysis of accident and travel data collected using event data recorders","authors":"F. Deflorio, A. Carboni","doi":"10.1080/19439962.2021.1919262","DOIUrl":null,"url":null,"abstract":"Abstract The current paper proposes a data analysis method to evaluate the impact of vehicle-technology evolution on road safety based on a recent and extensive accident dataset (1.3 million vehicles in 2017 and 1.7 million in 2018, Italy). Seventeen models of vehicles equipped with an event data recorder were selected for acquiring data, including the distances travelled by the vehicles during the year, and were aggregated by their year of initial registration and model. This unique information in conjunction with the accident datasets enabled a consistent estimation of risk exposure and accident rates for various subsets of vehicles. Thereafter, the comparative analysis of accident rates revealed an improvement in the road safety along with a significant variation between various vehicle models that approximately ranged from 5–10 accidents per million kilometres. Moreover, the accident rate reduced after the electronic stability control system was mandated for vehicles in the market, exhibiting variations in the range of 15–30% for serious accidents that were dependent on the vehicle model. Further safety improvements were identified for the latest generation of vehicles equipped with more advanced technologies such as the autonomous emergency braking that can reduce the accident rate up to 38%.","PeriodicalId":46672,"journal":{"name":"Journal of Transportation Safety & Security","volume":"36 1","pages":"1307 - 1332"},"PeriodicalIF":2.4000,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Transportation Safety & Security","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/19439962.2021.1919262","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 3

Abstract

Abstract The current paper proposes a data analysis method to evaluate the impact of vehicle-technology evolution on road safety based on a recent and extensive accident dataset (1.3 million vehicles in 2017 and 1.7 million in 2018, Italy). Seventeen models of vehicles equipped with an event data recorder were selected for acquiring data, including the distances travelled by the vehicles during the year, and were aggregated by their year of initial registration and model. This unique information in conjunction with the accident datasets enabled a consistent estimation of risk exposure and accident rates for various subsets of vehicles. Thereafter, the comparative analysis of accident rates revealed an improvement in the road safety along with a significant variation between various vehicle models that approximately ranged from 5–10 accidents per million kilometres. Moreover, the accident rate reduced after the electronic stability control system was mandated for vehicles in the market, exhibiting variations in the range of 15–30% for serious accidents that were dependent on the vehicle model. Further safety improvements were identified for the latest generation of vehicles equipped with more advanced technologies such as the autonomous emergency braking that can reduce the accident rate up to 38%.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
安全系统和车辆世代:使用事件数据记录器收集的事故和旅行数据分析
本文提出了一种数据分析方法,以评估车辆技术发展对道路安全的影响,该方法基于最近和广泛的事故数据集(2017年为130万辆,2018年为170万辆,意大利)。选取了17种配备事件数据记录器的车辆型号来收集数据,包括车辆在一年内行驶的距离,并按首次登记年份和型号汇总。这种独特的信息与事故数据集相结合,可以对不同车辆子集的风险暴露和事故率进行一致的估计。此后,对事故率的比较分析显示,道路安全有所改善,各种车辆型号之间的差异很大,大约每百万公里发生5-10起事故。此外,在市场上的车辆强制安装电子稳定控制系统后,事故率降低了,根据车辆型号的不同,严重事故的事故率在15-30%之间。最新一代车辆配备了更先进的技术,如自动紧急制动,可将事故率降低38%,从而进一步提高了安全性。
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 去求助
来源期刊
CiteScore
6.00
自引率
15.40%
发文量
38
期刊最新文献
Examining the crash risk factors associated with cycling by considering spatial and temporal disaggregation of exposure: Findings from four Dutch cities Traffic safety performance evaluation in a connected vehicle environment with queue warning and speed harmonization applications Enhancing bicyclist survival time in fatal crashes: Investigating the impact of faster crash notification time through explainable machine learning Factors affecting pedestrian injury severity in pedestrian-vehicle crashes: Insights from a data mining and mixed logit model approach Prediction of high-risk bus drivers characterized by aggressive driving behavior
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1