Traffic congestion forecasting based on pheromone communication model for intelligent transport systems

Authors:
S. Kurihara;H. Tamaki;M. Numao;J. Yano;K. Kagawa;T. Morita
Affiliations:
Osaka Univ., JST CREST, Japan, Ibaraki, Osaka, Japan;Osaka Univ., Japan;Osaka Univ., Japan;Sumitomo Electric Industries, Ltd., Japan;Sumitomo Electric Industries, Ltd., Japan;Sumitomo Electric Industries, Ltd., Japan
Venue:
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Year:
2009

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Abstract

The basic framework of next generation intelligent transport systems (ITSs) is discussed. We propose a new congestion forecast system, which reacts to dynamically changing traffic conditions based on a coordination mechanism using pheromone communication models. We evaluate and verify the basic effectiveness of this method using simple simulations.