Vehicle Based Intersection Management with Intelligent Agents

Xi Zou and David Levinson

No 36, Working Papers from University of Minnesota: Nexus Research Group

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.

Keywords: Intelligent Agents; Adaptive Intersection Control (search for similar items in EconPapers)
JEL-codes: C78 R40 (search for similar items in EconPapers)
Date: 2006
New Economics Papers: this item is included in nep-net
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http://hdl.handle.net/11299/179896 First version, 2007 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:nex:wpaper:vehicleagents

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