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Vehicle Based Intersection Management with Intelligent Agents

Author

Listed:
  • Xi Zou
  • David Levinson

    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

Signal-based intersection management will change when vehicles with intelligent capability are available in the future. Intelligent agents embedded in vehicle software will be responsible for vehicle control and route guidance. Intersection management can be achieved through the collaboration of these agents, without a centralized control infrastructure. This research focuses on the use of distributed multi-agent systems to provide microscopic adaptive control which might reduce traffic delay and chances of collisions at intersections. A hypothesized Mobile Ad-hoc Network provides communication links to connect the agents.

Suggested Citation

  • Xi Zou & David Levinson, 2006. "Vehicle Based Intersection Management with Intelligent Agents," Working Papers 000036, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:vehicleagents
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/11299/179896
    File Function: First version, 2007
    Download Restriction: no
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    More about this item

    Keywords

    Intelligent Agents; Adaptive Intersection Control;

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory

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