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ATAL
2005
Springer

Pheromone model: application to traffic congestion prediction

9 years 25 days ago
Pheromone model: application to traffic congestion prediction
Social insects such as ants and bees perform complex tasks with pheromone communication despite lack of top-down style control. We have examined applications of this pheromone paradigm towards ITS. In this paper, a car is regarded as an insect that releases (electronic) pheromone that represents density of traffic. We propose a method to predict future traffic through a pheromone mechanism without resorting to the use of a traffic control center. We evaluate our method using a simulation based on actual traffic data and the results indicate applicability to traffic prediction. Categories and Subject Descriptors I.6.3 [Simulation and Modeling]: Applications General Terms Algorithms, Performance, Experimentation. Keywords Pheromone, traffic congestion prediction.
Osamu Masutani, Hiroshi Sasaki, Hirotoshi Iwasaki,
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where ATAL
Authors Osamu Masutani, Hiroshi Sasaki, Hirotoshi Iwasaki, Yasushi Ando, Yoshiaki Fukazawa, Shinichi Honiden
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