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A Decentralized Approach for Anticipatory Vehicle Routing Using Delegate Multiagent Systems
Katholieke Universiteit Leuven, Belgium.
Katholieke Universiteit Leuven, Belgium.
Katholieke Universiteit Leuven, Belgium.ORCID iD: 0000-0002-1162-0817
2011 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 12, no 2, 364-373 p.Article in journal (Refereed) Published
Abstract [en]

Advanced vehicle guidance systems use real-time traffic information to route traffic and to avoid congestion. Unfortunately, these systems can only react upon the presence of traffic jams and not to prevent the creation of unnecessary congestion. Anticipatory vehicle routing is promising in that respect, because this approach allows directing vehicle routing by accounting for traffic forecast information. This paper presents a decentralized approach for anticipatory vehicle routing that is particularly useful in large-scale dynamic environments. The approach is based on delegate multiagent systems, i.e., an environment-centric coordination mechanism that is, in part, inspired by ant behavior. Antlike agents explore the environment on behalf of vehicles and detect a congestion forecast, allowing vehicles to reroute. The approach is explained in depth and is evaluated by comparison with three alternative routing strategies. The experiments are done in simulation of a real-world traffic environment. The experiments indicate a considerable performance gain compared with the most advanced strategy under test, i.e., a traffic-message-channel-based routing strategy.

Place, publisher, year, edition, pages
2011. Vol. 12, no 2, 364-373 p.
National Category
Software Engineering
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-16787DOI: 10.1109/TITS.2011.2105867OAI: oai:DiVA.org:lnu-16787DiVA: diva2:477513
Available from: 2012-01-23 Created: 2012-01-13 Last updated: 2017-12-08Bibliographically approved

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Weyns, Danny

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