URBAN INTELLIGENT TRAFFIC SYSTEM BASED ON MULTI-AGENT

This paper describes multi-agent coordination in urban traffic control, focusing on coordinating the signal of adjacent intersections in order to minimize the waiting vehicle's queue in the network. With multi-agent coordination, the Recursive Modeling Method (RMM) is used to select rational actions by examining the decision of other agents in making a distributed multi-agent environment. The paper describes how decision making using RMM and Bayesian learning can be applied to urban traffic control.

  • Supplemental Notes:
    • Publication Date: 2001. Pergamon, Oxford
  • Corporate Authors:

    Universitat Stuttgart. Institut fur Strassen und Verkehrswesen

    ,    

    Volkswagenwerk

    ,    

    Technische Universitat Branuschweig

    ,    

    Universitat der Bundeswehr Munchen

    ,    
  • Authors:
    • Ou, Haitao
    • Yang, Yupu
    • Zhang, Wenyuan
    • Xu, Xiaoming
  • Publication Date: 2001

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00961211
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: Aug 4 2003 12:00AM