Self-organization in traffic networks by digital pheromones

Authors Wolfgang Narzt
Gustav Pomberger
Dieter Kolb
Jan Wieghardt
Horst Hörtner
Roland Haring
Ursula Wilflingseder
Oliver Seimel
Title Self-organization in traffic networks by digital pheromones
Booktitle Proc. 10th Int. IEEE Conf. on Intelligent Transportation Systems
Type in proceedings
Publisher IEEE Computer Society
Address Seattle, Washington, USA
ISBN 1-4244-1396-6
Month October 2007
Year 2007
Pages 490-495
SCCH ID# 706

Nature often provides excellent patterns for the solution of technical problems and challenges: The principle of swarm intelligence e.g., is imitated by a manifold of optimization algorithms, where organisms mark their local environment in order to indirectly communicate with their conspecifics and to consequently solve complex problems in the collective. Emerging positioning and communication technologies allow extending swarm intelligence to the traffic system. Vehicles equipped with sensors, actuators and wireless communication technology virtually annotate their local environment for indirect communication and therefore form a smart collective with self-organizing capabilities following the example of nature. This paper presents and empirically verifies a decentralized self-organizing traffic flow model using a complex micro simulator capable of simulating real city networks based on authentic data acquisitions.