Investigating Communications Performance for Automated Vehicle-based Intersection Control under Connected Vehicle Environment

被引:0
|
作者
Lee, Joyoung [1 ]
Park, Byungkyu Brian [2 ]
机构
[1] New Jersey Inst Technol, John Reif Dept Civil & Environm Engn, Newark, NJ 08540 USA
[2] Univ Virginia, Dept Civil & Environm Engn, Charlottesville, VA 22903 USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper investigates the wireless communications performance of Cooperative Vehicle Intersection Control (CVIC) powered by the Connected Vehicle (CV) environment. Considering the CV communication standards defined in IEEE 802.11p, IEEE 1609, and SAE J2735, the performances of CV communications were examined under several external factors including the number of On-Board Units (OBUs) and the distance between transceivers by using an off-line simulation framework integrating NCTUns, a wireless communications network simulator, for DSRC communications and VISSIM for vehicular movements. Unlike perfect communications assumptions made in most CV studies in the transportation literature, a case study implementing the simulations of the CVIC algorithm showed that no perfect packet deliveries were observed, resulting in about 48% packet drops at most.
引用
收藏
页码:1342 / 1347
页数:6
相关论文
共 50 条
  • [21] Connected Vehicle-Based Lane Selection Assistance Application
    Tian, Danyang
    Wu, Guoyuan
    Hao, Peng
    Boriboonsomsin, Kanok
    Barth, Matthew J.
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (07) : 2630 - 2643
  • [22] Isolated intersection control for various levels of vehicle technology: Conventional, connected, and automated vehicles
    Yang, Kaidi
    Guler, S. Ilgin
    Menendez, Monica
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 72 : 109 - 129
  • [23] Decentralized control of connected automated vehicle trajectories in mixed traffic at an isolated signalized intersection
    Yao, Handong
    Li, Xiaopeng
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 121
  • [24] Traffic Flow Prediction Based on Hybrid Deep Learning Under Connected and Automated Vehicle Environment
    智能网联环境下基于混合深度学习的交通流预测模型
    [J]. Ran, Bin (bran@seu.edu.cn), 1600, Science Press (20):
  • [25] Intersection Vehicle Cooperative Eco-Driving in the Context of Partially Connected Vehicle Environment
    Kamal, M. A. S.
    Taguchi, S.
    Yoshimura, T.
    [J]. 2015 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, : 1261 - 1266
  • [26] Research on cooperative vehicle intersection control scheme without using traffic lights under the connected vehicles environment
    Zheng, Yi
    Jin, Lisheng
    Jiang, Yuying
    Wang, Fangrong
    Guan, Xin
    Ji, Shengyuan
    Xu, Jun
    [J]. ADVANCES IN MECHANICAL ENGINEERING, 2017, 9 (08) : 1 - 13
  • [27] Investigating the impact of HMI on drivers' merging performance in intelligent connected vehicle environment
    Wang, Yugang
    Lyu, Nengchao
    Wu, Chaozhong
    Du, Zijun
    Deng, Min
    Wu, Haoran
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2024, 198
  • [28] Field Evaluation of Connected Vehicle-Based Transit Signal Priority Control under Two Different Signal Plans
    Wang, Qinzheng
    Yang, Xianfeng
    Leonard, Blaine D.
    Mackey, Jamie
    [J]. TRANSPORTATION RESEARCH RECORD, 2020, 2674 (07) : 172 - 180
  • [29] SCoPTO: signalized corridor management with vehicle platooning and trajectory control under connected and automated traffic environment
    Guo, Yi
    Ma, Jiaqi
    [J]. TRANSPORTMETRICA B-TRANSPORT DYNAMICS, 2021, 9 (01) : 673 - 692
  • [30] User throughput optimization for signalized intersection in a connected vehicle environment
    Mohammadi, Roozbeh
    Roncoli, Claudio
    Mladenovic, Milos N.
    [J]. MT-ITS 2019: 2019 6TH INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS), 2019,