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Vehicle Based Intersection Management with Intelligent Agents

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Author Info

  • 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.

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File URL: http://nexus.umn.edu/Papers/VehicleAgents.pdf
File Function: First version, 2007
Download Restriction: no

Bibliographic Info

Paper provided by University of Minnesota: Nexus Research Group in its series Working Papers with number 000036.

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Date of creation: 2006
Date of revision:
Handle: RePEc:nex:wpaper:vehicleagents

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Postal: Dept. of Civil Engineering, 500 Pillsbury Drive SE, Minneapolis, MN 55455
Phone: +01 (612) 625-6354
Fax: +01 (612) 626-7750
Web page: http://nexus.umn.edu
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Related research

Keywords: Intelligent Agents; Adaptive Intersection Control;

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