Perimeter traffic control for single urban congested region with macroscopic fundamental diagram and boundary conditions

被引:16
|
作者
Guo, Yajuan [1 ,2 ]
Yang, Licai [2 ]
Hao, Shenxue [1 ]
Gu, Xinxin [3 ]
机构
[1] Shandong Jiaotong Univ, Sch Traff & Logist Engn, Jinan 250357, Peoples R China
[2] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China
[3] Shandong Prov Commun Planning & Design Inst CO LT, Jinan 250031, Peoples R China
基金
中国国家自然科学基金;
关键词
Macroscopic fundamental diagram; Perimeter traffic control; Single urban congested region; Boundary conditions; NETWORKS; DYNAMICS; SIGNALS;
D O I
10.1016/j.physa.2020.125401
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Macroscopic fundamental diagram (MFD) characterizes a unimodal and low-scatter relationship between traffic accumulation and trip completion rate for homogenous urban network, providing a new perspective for the development of regional congestion control strategies. This paper contributes to the state-of-the-art by proposing a perimeter traffic control strategy for single urban congested region with MFD model and boundary conditions. For an urban protected region, the MFD is introduced to capture network traffic dynamics and optimal capacity. When regional accumulation exceeds the optimal capacity, the restricted inflow distribution considering boundary condition constraints of real-time traffic flows and queue dynamics is used to formulate a perimeter traffic flow control strategy for adjusting traffic signal timing on the periphery of region. To proactively reduce the possibility of queue spillbacks at border links, the dynamic queue-dependent border gated points are also integrated into the proposed control method. The simulation experiment was performed using part of urban network in Jinan, China. The results demonstrate the proposed perimeter control method alleviates the issue of congestion and improves traffic performance in the protected region and at the boundaries. (C) 2020 Published by Elsevier B.V.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Perimeter control for urban traffic system based on macroscopic fundamental diagram
    Wu, Chao-Yun
    Li, Ming
    Jiang, Rui
    Hao, Qing-Yi
    Hu, Mao-Bin
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 503 : 231 - 242
  • [2] Optimal Perimeter Control for Multi-Region Traffic Networks Based on Macroscopic Fundamental Diagram
    Ma, Yafeng
    Liu, Zuoman
    IEEE ACCESS, 2024, 12 : 61937 - 61948
  • [3] Comprehensive Optimization of Traffic Management Strategies in Urban Congested Road Network Based on Macroscopic Fundamental Diagram
    He, Ziang
    Liu, Pan
    Liu, Youjun
    CICTP 2020: TRANSPORTATION EVOLUTION IMPACTING FUTURE MOBILITY, 2020, : 556 - 568
  • [4] Boundary conditions and behavior of the macroscopic fundamental diagram based network traffic dynamics: A control systems perspective
    Zhong, R. X.
    Huang, Y. P.
    Chen, C.
    Lam, W. H. K.
    Xu, D. B.
    Sumalee, A.
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2018, 111 : 327 - 355
  • [5] An analytical approximation for the macroscopic fundamental diagram of urban traffic
    Daganzo, Carlos F.
    Geroliminis, Nikolas
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2008, 42 (09) : 771 - 781
  • [6] Robust optimal predictive perimeter control for multiple urban regions based on macroscopic fundamental diagram
    Chen, Wangyan
    Zhang, Huimin
    Yuan, Yin
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 5792 - 5797
  • [7] Resilient perimeter control of macroscopic fundamental diagram networks under cyberattacks
    Haddad, Jack
    Mirkin, Boris
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2020, 132 (132) : 44 - 59
  • [8] Traffic Boundary Control Strategy Based on Macroscopic Fundamental Diagram Under Different Rainfall
    Zhao X.
    Hao G.
    Niu X.
    Zhou Z.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2024, 52 (01): : 72 - 82
  • [9] Study on discrete boundary-feedback-control strategy for traffic flow based on Macroscopic Fundamental Diagram
    Zhu, Wen-Xing
    Li, Shuo
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 523 : 1237 - 1247
  • [10] Macroscopic Fundamental Diagram: Alternative Theoretical Analysis and Implications for Traffic Control
    Kachroo, Pushkin
    Agarwal, Shaurya
    Ozbay, Kaan
    IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 5 : 826 - 841