A multi-agent approach to cooperative traffic management and route guidance

被引:105
|
作者
Adler, JL [1 ]
Satapathy, G [1 ]
Manikonda, V [1 ]
Bowles, B [1 ]
Blue, VJ [1 ]
机构
[1] Intelligent Automat Inc, Rockville, MD 20855 USA
基金
美国国家科学基金会;
关键词
transportation management; route guidance; intelligent agents;
D O I
10.1016/j.trb.2004.03.005
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper explores the use of cooperative, distributed multi-a-gent systems to improve dynamic routing and traffic management. On the supply-side, real-time control over the transportation network is accomplished through an agent-based distributed hierarchy of system operators. Allocation of network capacity and distribution of traffic advisories are performed by agents that act on behalf of information service providers. Driver needs and preferences are represented by agents embedded in intelligent In-vehicle route guidance systems. Negotiation between ISP and driver agents seek a more efficient route allocation across time and space. Results from simulation experiments suggest that negotiation can achieve more optimal network performance and increased driver satisfaction. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:297 / 318
页数:22
相关论文
共 50 条
  • [21] FAIRLANE: A multi-agent approach to priority lane management in diverse traffic composition
    Dubey, Rohit K.
    Dailisan, Damian
    Sanchez-Vaquerizo, Javier Argota
    Helbing, Dirk
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2025, 171
  • [22] A multi-agent semi-cooperative unmanned air traffic management model with separation assurance
    Liu, Yanchao
    EURO JOURNAL ON TRANSPORTATION AND LOGISTICS, 2021, 10
  • [23] A multi-agent guidance scheme for a cooperative inspection of an unknown space object
    Mercier, Mark
    Curtis, David
    2023 IEEE AEROSPACE CONFERENCE, 2023,
  • [24] Cooperative traffic signal control through a counterfactual multi-agent deep actor critic approach
    Song, Xiang
    Zhou, Bin
    Ma, Dongfang
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2024, 160
  • [25] A multi-agent cooperative model for crisis management system
    El-Korany, Abeer
    El-Bahnasy, Khaled
    ADVANCES ON ARTIFICIAL INTELLIGENCE, KNOWLEDGE ENGINEERING AND DATA BASES, PROCEEDINGS, 2008, : 170 - +
  • [26] Cooperative Multi-agent Reinforcement Learning for Inventory Management
    Khirwar, Madhav
    Gurumoorthy, Karthik S.
    Jain, Ankit Ajit
    Manchenahally, Shantala
    MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: APPLIED DATA SCIENCE AND DEMO TRACK, ECML PKDD 2023, PT VI, 2023, 14174 : 619 - 634
  • [27] A cooperative multi-agent approach to constrained project scheduling
    Zhu, D
    Padman, R
    INTERFACES IN COMPUTER SCIENCE AND OPERATIONS RESEARCH: ADVANCES IN METAHEURISTICS, OPTIMIZATION, AND STOCHASTIC MODELING TECHNOLOGIES, 1997, : 367 - 382
  • [28] A multi-agent based cooperative approach to scheduling and routing
    Martin, Simon
    Ouelhadj, Djamila
    Beullens, Patrick
    Ozcan, Ender
    Juan, Angel A.
    Burke, Edmund K.
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2016, 254 (01) : 169 - 178
  • [29] Traffic Control and Guidance Coordination Based on Multi-Agent and Game Theory
    He, Zengzhen
    Zhang, Qisen
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE OF MANAGEMENT ENGINEERING AND INFORMATION TECHNOLOGY, VOLS 1 AND 2, 2009, : 1059 - 1062
  • [30] RAILWAY TRAFFIC MANAGEMENT IMPLEMENTED BY A MULTI-AGENT SYSTEM
    Santa, Maria-Magdalena
    Cuibus, Octavian
    Letia, Tiberiu
    Enache, Mirela
    ACTA TECHNICA NAPOCENSIS SERIES-APPLIED MATHEMATICS MECHANICS AND ENGINEERING, 2011, 54 (02): : 411 - 419