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Vehicle Based Intersection Management with Intelligent Agents

  • Xi Zou
  • David Levinson


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

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 Function: First version, 2007
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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
Contact details of provider: Postal: Dept. of Civil Engineering, 500 Pillsbury Drive SE, Minneapolis, MN 55455
Phone: +01 (612) 625-6354
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