Traffic Flow Characteristics and Lane Use Strategies for Connected and Automated Vehicles in Mixed Traffic Conditions
Author:
Affiliation:
1. John A. Reif, Jr. Department of Civil and Environmental Engineering, New Jersey Institute of Technology, NJ, USA
2. College of Engineering, Georgia Institute of Technology, GA 30332, Atlanta, USA
Abstract
Funder
National Science Foundation
Publisher
Hindawi Limited
Subject
Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering
Link
http://downloads.hindawi.com/journals/jat/2021/8816540.pdf
Reference70 articles.
1. Advancements, prospects, and impacts of automated driving systems
2. Managed Lanes: A Primer, Technical Report, 2008
3. Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability?
4. SmithS.BelloneJ.BransfieldS.Benefits estimation framework for automated vehicle operations2015United States Department of Transportation, Intelligent TransportationTechnical Report
5. Freeway lane management approach in mixed traffic environment with connected autonomous vehicles;O. Hussain,2016
Cited by 16 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 the Impact of Autonomous Vehicles on Roundabout Performance Using Microsimulation;2024 Intermountain Engineering, Technology and Computing (IETC);2024-05-13
2. The impact of the presence and utilization policy of a dedicated lane on drivers’ preference to use automation and driving behaviour on motorways;Transportation Research Part F: Traffic Psychology and Behaviour;2024-05
3. Linear internal stability for mixed traffic flow of CAVs with different automation levels;Physica A: Statistical Mechanics and its Applications;2024-05
4. Cooperative control of dynamic CAV dedicated lanes and vehicle active lane changing in expressway bottleneck areas;Physica A: Statistical Mechanics and its Applications;2024-03
5. Optimal lane management policy for connected automated vehicles in mixed traffic flow;Physica A: Statistical Mechanics and its Applications;2024-03
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