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
  • [31] Decentralised control of a mixed traffic platoon of connected cars and human-driven motorcycles
    Barooah, Uddipan
    Manjunath, Sreelakshmi
    2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING), 2022,
  • [32] Enhancing Mixed Traffic Flow with Platoon Control and Lane Management for Connected and Autonomous Vehicles
    Peng, Yichuan
    Liu, Danyang
    Wu, Shubo
    Yang, Xiaoxue
    Wang, Yinsong
    Zou, Yajie
    SENSORS, 2025, 25 (03)
  • [33] Traffic Responsive Control of Intersections with Predicted Arrival Times: A Markovian Approach
    Haijema, Rene
    Hendrix, Eligius M. T.
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2014, 29 (02) : 123 - 139
  • [34] OPTIMAL DESIGN OF INTELLIGENT CONTROL AND RECOGNITION OF TRAFFIC LIGHTS AT ROAD INTERSECTIONS
    Liu, Yunlong
    Chen, Lei Yu
    Sun, Xiaolei
    INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2023, 38 (04) : 317 - 322
  • [35] Operation Regimes and Slower-is-Faster-Effect in the Control of Traffic Intersections
    Helbing, Dirk
    Mazloumian, Amin
    MODELLING AND OPTIMISATION OF FLOWS ON NETWORKS, CETRARO, ITALY 2009, 2013, 2062 : 357 - 394
  • [36] Integrated Control Policy for Heterogeneous Traffic in Container Terminals With Unsignalized Intersections
    Wang, Shuo
    Wu, Weimin
    Luo, Jiliang
    Zhou, Jiazhong
    Zhang, Tao
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2025,
  • [37] Recurrence Theory-Based Platoon Analysis under Indian Traffic Conditions
    Badhrudeen, Mohamed
    Vanajakshi, Lelitha
    Subramanian, Shankar C.
    Sharma, Anuj
    Thomas, Helen
    JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2018, 144 (08)
  • [38] A MILP-based Traffic Signal Scheduling Solution with Consideration of Platoon Dispersion
    Zhang, Yicheng
    Su, Rong
    2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2020,
  • [39] Traffic Signal Optimization for Multiple Intersections Based on Reinforcement Learning
    Gu, Jaun
    Lee, Minhyuck
    Jun, Chulmin
    Han, Yohee
    Kim, Youngchan
    Kim, Junwon
    APPLIED SCIENCES-BASEL, 2021, 11 (22):
  • [40] A Survey of Vision-Based Traffic Monitoring of Road Intersections
    Datondji, Sokemi Rene Emmanuel
    Dupuis, Yohan
    Subirats, Peggy
    Vasseur, Pascal
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 17 (10) : 2681 - 2698