Traffic Flow of Connected and Automated Vehicles: Challenges and Opportunities

被引:19
|
作者
Calvert, Simeon [1 ]
Mahmassani, Hani [2 ]
Meier, Jan-Niklas [3 ]
Varaiya, Pravin [4 ]
Hamdar, Samer [5 ]
Chen, Danjue [6 ]
Li, Xiaopeng
Talebpour, Alireza
Mattingly, Stephen P.
机构
[1] TNO, The Hague, Netherlands
[2] Northwestern Univ, 600 Foster St, Evanston, IL 60208 USA
[3] CAMP LLC Vehicle Infrastruct Consortium, Farmington Hills, MI USA
[4] Univ Calif Berkeley, 271 M Corry Hall, Berkeley, CA 94720 USA
[5] George Washington Univ, 800 22 nd St NW, Washington, DC 20052 USA
[6] Univ Massachusetts Lowell, 1 Univ Ave 108, Lowell, MA 01854 USA
来源
关键词
Traffic flow modeling; CAV; Deployment; CACC; Urban networks; Research needs; AUTONOMOUS VEHICLES;
D O I
10.1007/978-3-319-60934-8_19
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Significant progress has been observed in recent years in the development of connected and automated vehicles (CAVs). Such progress has been publicized through the latest products/applications being released or announced by the industry. However, there is a limited knowledge on the impact of CAV technologies on surface transportation network performance. In particular, the technological specifications associated with CAVs and the response of drivers to such technologies are not well integrated into traffic flow models. These models are needed to assess and evaluate the safety and mobility impact on our roadway conditions. Accordingly, a more elaborate discussion is needed between three entities: (1) the industry partners leading the efforts in developing CAVs; (2) the academic traffic flow modeling community researching the impact of CAVs on traffic flow performance; and (3) the public/government agencies devising the standards and the rules to regulate the deployment of CAVs on our roadway network. This chapter summarizes the presentations of speakers from these three entities during the Automated Vehicles Symposium 2016 (AVS16) held in San Francisco, California on July 19-21, 2016. These speakers participated in the break-out session titled "Traffic Flow of Connected and Automated Vehicles". The corresponding discussion and recommendation are presented in terms of the lessons learned and the future research direction to be adopted. This session was organized by the AHB45 (3) Subcommittee on Traffic Flow Modeling for Connected and Automated Vehicles.
引用
收藏
页码:235 / 245
页数:11
相关论文
共 50 条
  • [1] Impact of Connected and Automated Vehicles on Traffic Flow
    Rios-Torres, Jackeline
    Malikopoulos, Andreas A.
    [J]. 2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2017,
  • [2] Stability analysis and connected vehicles management for mixed traffic flow with platoons of connected automated vehicles
    Qin, Yanyan
    Luo, Qinzhong
    Wang, Hua
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2023, 157
  • [3] Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities
    Li, Shengbo Eben
    Zheng, Yang
    Li, Keqiang
    Wu, Yujia
    Hedrick, J. Karl
    Gao, Feng
    Zhang, Hongwei
    [J]. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2017, 9 (03) : 46 - 58
  • [4] Improving Traffic Safety via Traffic Flow Optimization of Connected and Automated Vehicles
    [J]. Wang, Hao (haowang@seu.edu.cn), 2018, Chang'an University (31):
  • [5] Trajectory reconstruction for mixed traffic flow with regular, connected, and connected automated vehicles on freeway
    Yao, Zhihong
    Liu, Meng
    Jiang, Yangsheng
    Tang, Youhua
    Ran, Bin
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2024, 18 (03) : 450 - 466
  • [6] Influence of dedicated lanes for connected and automated vehicles on highway traffic flow
    Kim, Jongho
    Lim, Donghyun
    Seo, Younghoon
    So, Jaehyun
    Kim, Hyungjoo
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2023, 17 (04) : 678 - 690
  • [7] Traffic Flow Characteristics and Lane Use Strategies for Connected and Automated Vehicles in Mixed Traffic Conditions
    Zhong, Zijia
    Lee, Joyoung
    Zhao, Liuhui
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2021, 2021
  • [8] Eco-driving strategy for connected automated vehicles in mixed traffic flow
    Liu, Hongjie
    Yuan, Tengfei
    Zeng, Xiaoqing
    Guo, Kaiyi
    Wang, Yizeng
    Mo, Yanghui
    Xu, Hongzhe
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2024, 633
  • [9] Optimal lane management policy for connected automated vehicles in mixed traffic flow
    Yao, Zhihong
    Li, Le
    Liao, Wenbin
    Wang, Yi
    Wu, Yunxia
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2024, 637
  • [10] Stability and safety evaluation of mixed traffic flow with connected automated vehicles on expressways
    Yao, Zhihong
    Hu, Rong
    Jiang, Yangsheng
    Xu, Taorang
    [J]. JOURNAL OF SAFETY RESEARCH, 2020, 75 : 262 - 274