Stability of regional traffic networks employing maximum throughput demand management

被引:0
作者
Ramp, Michalis [1 ]
Kasis, Andreas [1 ]
Menelaou, Charalambos [1 ]
Timotheou, Stelios [1 ,2 ]
机构
[1] Univ Cyprus, KIOS Res & Innovat Ctr Excellence, 1 Panepistimiou Ave, CY-2109 Nicosia, Cyprus
[2] Univ Cyprus, Dept Elect & Comp Engn, POB 20537,1 Panepistimiou Ave,2109, CY-1678 Nicosia, Cyprus
基金
欧洲研究理事会; 欧盟地平线“2020”;
关键词
Traffic control; Demand management; Large-scale systems; Decentralized control; PERIMETER CONTROL; CONGESTION;
D O I
10.1016/j.ejcon.2024.101061
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper considers the stability and optimality properties of traffic demand management schemes, motivated by the integration of smart monitoring and control technologies in traffic networks. First, a suitable optimization problem is formulated that aims to obtain demand input values that maximize the throughput within traffic networks adhering to regional traffic dynamics with triangular macroscopic fundamental diagrams. We show that optimal solutions to this problem may lead to unstable behaviour, revealing a trade-off between stability and optimality. To address this issue, we analytically study the stability properties of traffic networks at the presence of constant demand input and provide suitable local conditions that guarantee stability when the system's equilibrium densities are strictly within the free-flow region, but not at the critical density. The latter case is significant, since the maximum throughput behaviour coincides in many cases with the local critical density. We resolve this by proposing a decentralized proportional demand control scheme and suitable local design conditions such that stability is guaranteed. Our analytic results are validated with numerical simulations in a 3-region system that demonstrate the effectiveness and practicality of the proposed approach.
引用
收藏
页数:8
相关论文
共 32 条
  • [1] Traffic density determination and its applications using smartphone
    Al-Sobky, Al-Sayed Ahmed
    Mousa, Ragab M.
    [J]. ALEXANDRIA ENGINEERING JOURNAL, 2016, 55 (01) : 513 - 523
  • [2] ARNOTT R, 1994, AM SCI, V82, P446
  • [3] Centralized and Distributed Multi-Region Traffic Flow Control
    Boufous, Omar
    Roncoli, Claudio
    Charalambous, Themistoklis
    [J]. 2020 EUROPEAN CONTROL CONFERENCE (ECC 2020), 2020, : 420 - 427
  • [4] Camacho EF, 2013, MODEL PREDICTIVE CON
  • [5] Selfish routing in capacitated networks
    Correa, JR
    Schulz, AS
    Stier-Moses, NE
    [J]. MATHEMATICS OF OPERATIONS RESEARCH, 2004, 29 (04) : 961 - 976
  • [6] Urban gridlock: Macroscopic modeling and mitigation approaches
    Daganzo, Carlos F.
    [J]. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2007, 41 (01) : 49 - 62
  • [7] Traffic density estimation in vehicular ad hoc networks: A review
    Darwish, T.
    Abu Bakar, K.
    [J]. AD HOC NETWORKS, 2015, 24 : 337 - 351
  • [8] Hierarchical perimeter control with guaranteed stability for dynamically coupled heterogeneous urban traffic
    Fu, Hui
    Liu, Na
    Hu, Gang
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2017, 83 : 18 - 38
  • [9] Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings
    Geroliminis, Nikolas
    Daganzo, Carlos F.
    [J]. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2008, 42 (09) : 759 - 770
  • [10] Optimal Perimeter Control for Two Urban Regions With Macroscopic Fundamental Diagrams: A Model Predictive Approach
    Geroliminis, Nikolas
    Haddad, Jack
    Ramezani, Mohsen
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2013, 14 (01) : 348 - 359