清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Characteristics of Rear-End Collisions: A Comparison between Automated Driving System-Involved Crashes and Advanced Driving Assistance System-Involved Crashes

撞车 高级驾驶员辅助系统 碰撞 运输工程 汽车工程 计算机科学 工程类 计算机安全 人工智能 程序设计语言
作者
Chunxi Huang,Xiao Wen,Dengbo He
出处
期刊:Transportation Research Record [SAGE Publishing]
标识
DOI:10.1177/03611981231209319
摘要

With the increasing number of vehicles equipped with automated driving systems (ADS) being tested on public roads and the expanding market share of vehicles equipped with advanced driving assistance systems (ADAS), the number of ADS- or ADAS-involved crashes increases. Thus, it is necessary to investigate the distribution of ADS- and ADAS-involved crashes and the factors leading to them. The rear-end collision has been found to dominate ADS-involved crashes. However, no research has explored the conditions when ADS-involved rear-end collisions are more likely to happen and no research has investigated ADAS-involved rear-end crashes. Based on 130 ADS-involved crashes and 84 ADAS-involved crashes extracted from a dataset collected by the National Highway Traffic Safety Administration (NHTSA) between July 2021 and May 2022, this study explored the crash patterns, especially rear-end crashes, of ADS- and ADAS-controlled vehicles. Results show that rear-end collisions dominate both ADS- and ADAS-involved crashes, especially ADAS-involved crashes. The type of both ADS-involved and ADAS-involved crashes was affected by the speed of the ego-vehicle relative to the posted speed limit. Further, the type of ADS-involved crash was affected by the pre-crash movement of the crash partner, while the type of ADAS-involved crash was further associated with the road type. The findings can provide insights into the design of ADAS and ADS control algorithms, the external human-machine interface design of the vehicles with ADS or ADAS, and the training program of human road users to improve traffic safety in mixed traffic.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
6秒前
健壮雪碧发布了新的文献求助10
6秒前
玛卡巴卡爱吃饭完成签到 ,获得积分10
24秒前
英俊的铭应助紫熊采纳,获得10
41秒前
机智的苗条完成签到,获得积分10
1分钟前
成就的香菇完成签到,获得积分10
1分钟前
鸡鸡大魔王完成签到,获得积分10
1分钟前
喜悦的唇彩完成签到,获得积分10
1分钟前
羞涩的问兰完成签到,获得积分10
1分钟前
丰富的亦寒完成签到,获得积分10
1分钟前
标致初曼完成签到,获得积分10
1分钟前
哈哈哈完成签到,获得积分10
1分钟前
luo完成签到,获得积分10
1分钟前
思源应助莫提斯采纳,获得10
1分钟前
螺丝炒钉子完成签到,获得积分10
1分钟前
1分钟前
1分钟前
莫提斯发布了新的文献求助10
1分钟前
紫熊发布了新的文献求助10
1分钟前
Imran完成签到,获得积分10
1分钟前
老戎完成签到 ,获得积分10
1分钟前
西蓝花战士完成签到 ,获得积分10
2分钟前
汉堡包应助健壮雪碧采纳,获得10
2分钟前
优雅的帅哥完成签到 ,获得积分10
2分钟前
星辰大海应助由亦非采纳,获得30
2分钟前
2分钟前
ECHO发布了新的文献求助10
2分钟前
Nexus完成签到,获得积分0
2分钟前
wanli完成签到,获得积分10
2分钟前
ECHO完成签到,获得积分10
2分钟前
2分钟前
3分钟前
3分钟前
由亦非发布了新的文献求助30
3分钟前
3分钟前
谢锦印发布了新的文献求助10
3分钟前
4分钟前
健壮雪碧完成签到,获得积分20
4分钟前
健壮雪碧发布了新的文献求助10
4分钟前
狂野晓蕾发布了新的文献求助10
4分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
Signals, Systems, and Signal Processing 610
Research Methods for Applied Linguistics 500
A Social and Cultural History of the Hellenistic World 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6394582
求助须知:如何正确求助?哪些是违规求助? 8209729
关于积分的说明 17382316
捐赠科研通 5447800
什么是DOI,文献DOI怎么找? 2880027
邀请新用户注册赠送积分活动 1856542
关于科研通互助平台的介绍 1699188