Study on urban traffic management based on multi-agent system

被引：0
|
作者：
Cai, Chang-Qing [1 ]
Yang, Zao-Sheng [1 ]
机构：
[1] Changchun Technol Inst, Changchun 130012, Jilin Province, Peoples R China
来源：
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年
关键词：
group decision support system; Multi-agent system; distributed urban traffic management; communication; traffic management;
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：
Multi-agent system (MAS) technology is adopted in constructing the model of group decision support system in distributed urban traffic management. The presented system is composed of segment agent, crossing agent, section agent and central decision agent. It can realize an intelligent traffic management, by sharing information and implementing complicated traffic control in a region. The system can achieve the global optimization of the region, alleviate traffic jam, reduce the emission of vehicles and then increase the efficiency of traffic management. The result of this paper can be used in traffic management to alleviate the urban traffic congestion in China.
引用
收藏
页码：25 / 29
页数：5
相关论文
共 50 条
  • [1] Multi-agent system based urban traffic management
    Balaji, P. G.
    Sachdeva, Gaurav
    Srinivasan, D.
    Tham, Chen-Khong
    [J]. 2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, 2007, : 1740 - 1747
  • [2] An Urban Traffic Simulation System Based On Multi-agent Modeling
    Han, Zhi
    Zhang, Kun
    Yin, Hongpeng
    Zhu, Yong
    [J]. 2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 6378 - 6383
  • [3] A Multi-agent Based on Ant Colony Model for Urban Traffic Management
    Sabbani, Imad
    Youssfi, Mohamed
    Bouattane, Omar
    [J]. PROCEEDINGS OF 2016 5TH INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2016, : 793 - 798
  • [4] Optimizing multi-agent based urban traffic signal control system
    Xu, Mingtao
    An, Kun
    Le Hai Vu
    Ye, Zhirui
    Feng, Jiaxiao
    Chen, Enhui
    [J]. JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 23 (04) : 357 - 369
  • [5] Urban traffic multi-agent system based on RMM and Bayesian learning
    Ou, HT
    Zhang, WD
    Zhang, WJ
    Xu, XM
    [J]. PROCEEDINGS OF THE 2000 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2000, : 2782 - 2783
  • [6] Microscopic urban traffic simulation with multi-agent system
    Li, Y
    Ma, SF
    Li, W
    Wang, HC
    [J]. ICICS-PCM 2003, VOLS 1-3, PROCEEDINGS, 2003, : 1835 - 1839
  • [7] Multi-Agent System in Urban Traffic Signal Control
    Balaji, P. G.
    Srinivasan, D.
    [J]. IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2010, 5 (04) : 43 - 51
  • [8] A Rule-Based Multi-agent System for Local Traffic Management
    Marti, Isabel
    Tomas, Vicente R.
    Garcia, Luis A.
    Martinez, Juan J.
    [J]. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING, PROCEEDINGS, 2009, 5788 : 502 - +
  • [9] A Rule-based Multi-agent System for Road Traffic Management
    Marti, Isabel
    Tomas, Vicente R.
    Saez, Arturo
    Martinez, Juan J.
    [J]. 2009 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT), VOL 3, 2009, : 595 - +
  • [10] Research of Urban Intelligent Traffic Signal Control System Based on the Multi-Agent
    Jiang, ShuFeng
    [J]. 2nd International Conference on Sensors, Instrument and Information Technology (ICSIIT 2015), 2015, : 405 - 410
12345