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Bee Inspired Online Vehicle Routing in Large Traffic Systems

Authors:
Sebastian Senge
Horst Wedde

Keywords: Traffic management; traffic information system; distributed systems; swarm intelligence

Abstract:
Traffic congestions have been a major problem in metropolitan areas worldwide, causing enormous economical as well as ecological damage. We argue that, due to the highly dynamic character of congestion forming and dissolving, any adequate solution for individual online vehicle routing in large traffic systems will require distributed, adaptive coordination of local navigators in order to transmit directions in due time before any road intersection which would still be valid when carried out. In this paper a completely distributed and adaptive swarm intelligence based multi-layered approach termed BeeJamA is presented. It features dynamic deadlines. There is no need of global or centralized information. We report on extensive simulation experiments with the MATSim simulator verifying BeeJamA's superior performance compared to existing models.

Pages: 78 to 83

Copyright: Copyright (c) IARIA, 2010

Publication date: November 21, 2010

Published in: conference

ISSN: 2308-4146

ISBN: 978-1-61208-109-0

Location: Lisbon, Portugal

Dates: from November 21, 2010 to November 26, 2010