Traffic capacity implications of automated vehicles mixed with regular vehicles

运输工程 汽车工程 计算机科学 工程类
作者
Arash Olia,Saiedeh Razavi,Baher Abdulhai,Hossam Abdelgawad
出处
期刊:Journal of Intelligent Transportation Systems [Taylor & Francis]
卷期号:22 (3): 244-262 被引量:131
标识
DOI:10.1080/15472450.2017.1404680
摘要

Automated vehicles (AVs) have begun to receive tremendous interest among researchers and decision-makers because of their substantial safety and mobility benefits. Although much research has been reported regarding the implications of Adaptive Cruise Control (ACC) and Cooperative Adaptive Cruise Control (CACC) technologies for highway capacity, to our knowledge, evaluations of the impacts of AVs are rare. AVs can be divided into two categories, cooperative and autonomous. Cooperative AVs, unlike Autonomous AVs, can communicate with other vehicles and infrastructure, thereby providing better sensing and anticipation of preceding vehicles' actions, which would have an impact on traffic flow characteristics. This paper proposes an analytical framework for quantifying and evaluating the impacts of AVs on the capacities of highway systems. To achieve this goal, the behavior of AVs technologies incorporated on the car-following and lane-merging modules in the traffic micro-simulation model, based on which an estimate of the achievable capacity is derived. To consider the period before AVs account for a majority of the vehicles in traffic networks, the proposed model considers combinations of vehicles with varying market penetration. The results indicate that a maximum lane capacity of 6,450 vph per lane (300% improvement) is achievable if all vehicles are driven in a cooperative automated manner. Regarding the incorporation of autonomous AVs into the traffic stream, the achievable capacity appears highly insensitive to market penetration. The results of this research provide practitioners and decision-makers with knowledge regarding the potential capacity benefits of AVs with respect to market penetration and fleet conversion.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
3秒前
6秒前
赘婿应助研友_8oYg4n采纳,获得10
9秒前
9秒前
11秒前
Ivia完成签到,获得积分10
11秒前
洁净的鹏煊完成签到,获得积分20
11秒前
斯文败类应助ZX801采纳,获得10
11秒前
烨伟发布了新的文献求助10
12秒前
apple发布了新的文献求助10
13秒前
爱科研发布了新的文献求助10
14秒前
烂漫平蓝完成签到,获得积分20
19秒前
聪明面包发布了新的文献求助200
20秒前
Akim应助爱科研采纳,获得10
21秒前
大模型应助风中的海豚采纳,获得10
21秒前
诸葛不亮完成签到,获得积分10
21秒前
22秒前
23秒前
23秒前
研友_VZG7GZ应助辉太狼采纳,获得10
23秒前
诸葛不亮发布了新的文献求助200
24秒前
飞翔的蒲公英完成签到,获得积分10
25秒前
量子星尘发布了新的文献求助10
26秒前
4659发布了新的文献求助10
26秒前
蒸汽秋葵X完成签到,获得积分10
27秒前
28秒前
汉堡包应助阿海采纳,获得10
28秒前
28秒前
卡卡14完成签到,获得积分10
31秒前
蒸汽秋葵X发布了新的文献求助10
32秒前
诚心冬亦完成签到,获得积分10
33秒前
34秒前
DY完成签到,获得积分10
35秒前
37秒前
39秒前
情怀应助Ultraman45采纳,获得10
39秒前
是锦锦呀完成签到,获得积分10
39秒前
41秒前
HJL发布了新的文献求助30
41秒前
42秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 700
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3976253
求助须知:如何正确求助?哪些是违规求助? 3520405
关于积分的说明 11203301
捐赠科研通 3257028
什么是DOI,文献DOI怎么找? 1798589
邀请新用户注册赠送积分活动 877755
科研通“疑难数据库(出版商)”最低求助积分说明 806521