Effects of prediction feedback in multi-route intelligent traffic systems

被引：44
作者：
Dong, Chuanfei [1 ,2 ,3 ]
Ma, Xu [1 ,2 ,4 ]
Wang, Binghong [1 ,2 ,5 ]
Sun, Xiaoyan [1 ,2 ]
机构：
[1] Univ Sci & Technol China, Dept Modern Phys, Hefei 230026, Anhui, Peoples R China
[2] Univ Sci & Technol China, Ctr Nonlinear Sci, Hefei 230026, Anhui, Peoples R China
[3] Georgia Inst Technol, Sch Earth & Atmospher Sci, Atlanta, GA 30332 USA
[4] Syracuse Univ, Dept Phys, Syracuse, NY 13244 USA
[5] Shanghai Univ Sci & Technol, Res Ctr Complex Syst Sci, Shanghai 200093, Peoples R China
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2010年 / 389卷 / 16期
基金：
中国国家自然科学基金;
关键词：
Prediction feedback; Multi-route; Intelligent traffic systems; Cellular automaton model; FLOW; MODEL; INFORMATION; DYNAMICS;
D O I：
10.1016/j.physa.2010.02.036
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
We first study the influence of an efficient feedback strategy named the prediction feedback strategy (PFS) based on a multi-route scenario in which dynamic information can be generated and displayed on the board to guide road users to make a choice. In this scenario, our model incorporates the effects of adaptability into the cellular automaton models of traffic flow. Simulation results adopting this optimal information feedback strategy have demonstrated high efficiency in controlling spatial distribution of traffic patterns compared with the other three information feedback strategies, i.e., vehicle number and flux. At the end of this paper, we also discuss in what situation PFS will become invalid in multi-route systems. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码：3274 / 3281
页数：8
相关论文
共 20 条
  • [1] DOES PROVIDING INFORMATION TO DRIVERS REDUCE TRAFFIC CONGESTION
    ARNOTT, R
    DEPALMA, A
    LINDSEY, R
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 1991, 25 (05) : 309 - 318
  • [2] DYNAMIC NETWORK MODELS AND DRIVER INFORMATION-SYSTEMS
    BENAKIVA, M
    DEPALMA, A
    KAYSI, I
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 1991, 25 (05) : 251 - 266
  • [3] SELF-ORGANIZATION AND A DYNAMIC TRANSITION IN TRAFFIC-FLOW MODELS
    BIHAM, O
    MIDDLETON, AA
    LEVINE, D
    [J]. PHYSICAL REVIEW A, 1992, 46 (10): : R6124 - R6127
  • [4] Statistical physics of vehicular traffic and some related systems
    Chowdhury, D
    Santen, L
    Schadschneider, A
    [J]. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2000, 329 (4-6): : 199 - 329
  • [5] Prediction feedback in intelligent traffic systems
    Dong Chuan-Fei
    Ma Xu
    Wang Guan-Wen
    Sun Xiao-Yan
    Wang Bing-Hong
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2009, 388 (21) : 4651 - 4657
  • [6] DYNAMIC NETWORK TRAFFIC ASSIGNMENT CONSIDERED AS A CONTINUOUS-TIME OPTIMAL-CONTROL PROBLEM
    FRIESZ, TL
    LUQUE, J
    TOBIN, RL
    WIE, BW
    [J]. OPERATIONS RESEARCH, 1989, 37 (06) : 893 - 901
  • [7] Gas-kinetic-based traffic model explaining observed hysteretic phase transition
    Helbing, D
    Treiber, M
    [J]. PHYSICAL REVIEW LETTERS, 1998, 81 (14) : 3042 - 3045
  • [8] Traffic and related self-driven many-particle systems
    Helbing, D
    [J]. REVIEWS OF MODERN PHYSICS, 2001, 73 (04) : 1067 - 1141
  • [9] Structure and instability of high-density equations for traffic flow
    Helbing, D
    [J]. PHYSICAL REVIEW E, 1998, 57 (05): : 6176 - 6179
  • [10] Kachroo P., 1996, TRANSPORT RES REC, V1556, P137
12