Mathematical Proof of Effectiveness of Platoon-based Traffic Control at Intersections

被引:0
作者
Wu, Jia [1 ]
Yan, Fei [2 ]
Abbas-Turki, Abdeljalil [3 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Software Engn, 4,Sect 2,North Jianshe Rd, Chengdu 610054, Peoples R China
[2] Southwest Jiaotong Univ, Sch Informat Dvi & Technol, Jinan, Peoples R China
[3] Univ Technol Belfort Montbeliard, Syst Lab Transports, Montrouge 90010, France
来源
2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC) | 2013年
关键词
MODEL; ALGORITHM;
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
It was found that the platoon-based algorithm provides better performance at intersections than the conventional signal timing algorithms. To the best of our knowledge, researches have not proved formally the effects of platoon-based algorithm on the traffic control. In this paper, a Petri Nets model is proposed to describe the traffic behavior at intersections. Then based on the structure analysis of the model, it is proved that in order to minimize the total queue length at any time, the platoon should not be interrupted as far as possible. According to the result, a simple traffic control algorithm is proposed for cooperative driving at intersections. Further, through computer simulations, it is shown that the platoon-based algorithm outperforms other traffic control strategies.
引用
收藏
页码:720 / 725
页数:6
相关论文
共 50 条
  • [21] Multiple intersections traffic signal control based on cooperative multi-agent reinforcement learning
    Liu, Junxiu
    Qin, Sheng
    Su, Min
    Luo, Yuling
    Wang, Yanhu
    Yang, Su
    INFORMATION SCIENCES, 2023, 647
  • [22] A Proposed Model of Extended Coordination for the Traffic Light Control at Intersections
    Tresler, Filip
    TELEMATICS IN THE TRANSPORT ENVIRONMENT, 2012, 329 : 240 - 248
  • [23] Traffic event classification at intersections based on the severity of abnormality
    Akoz, Omer
    Karsligil, M. Elif
    MACHINE VISION AND APPLICATIONS, 2014, 25 (03) : 613 - 632
  • [24] Simulation Comparisons of Vehicle-Based and Movement-Based Traffic Control for Autonomous Vehicles at Isolated Intersections
    Yang, Chen
    Lin, Xi
    Li, Meng
    He, Fang
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (12) : 22954 - 22970
  • [25] A CAV Platoon Control Method for Isolated Intersections: Guaranteed Feasible Multi-Objective Approach with Priority
    Wang, Chen
    Dai, Yulu
    Xia, Jingxin
    ENERGIES, 2020, 13 (03)
  • [26] Platoon Separation Strategy Optimization Method Based on Deep Cognition of a Drivers Behavior at Signalized Intersections
    Chen, Junjie
    Sun, Jian
    IEEE ACCESS, 2020, 8 : 17779 - 17791
  • [27] Robust Signal Control of Exit Lanes for Left-Turn Intersections With the Consideration of Traffic Fluctuation
    Chen, Kaijia
    Zhao, Jing
    Knoop, Victor L.
    Gao, Xing
    IEEE ACCESS, 2020, 8 (08) : 42071 - 42081
  • [28] A two-stage robust optimal traffic signal control with reversible lane for isolated intersections
    Sun, Zhiyuan
    Wang, Zhicheng
    Qi, Xin
    Wang, Duo
    Li, Yue
    Lu, Huapu
    IET INTELLIGENT TRANSPORT SYSTEMS, 2024, 18 (04) : 723 - 742
  • [29] An equitable traffic signal control scheme at isolated signalized intersections using Connected Vehicle technology
    Liang, Xiao
    Guler, S. Ilgin
    Gayah, Vikash V.
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 110 : 81 - 97
  • [30] Monte Carlo Tree Search-Based Mixed Traffic Flow Control Algorithm for Arterial Intersections
    Cheng, Yanqiu
    Hu, Xianbiao
    Tang, Qing
    Qi, Hongsheng
    Yang, Hong
    TRANSPORTATION RESEARCH RECORD, 2020, 2674 (08) : 167 - 178