Traffic prediction using pheromone model

Osamu Masutani, Hiroshi Sasaki, Hirotoshi Iwasaki, Yasushi Ando, Yoshiaki Fukazawa, Shinichi Honiden

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    Social insects such as ants, bees and wasps perform complex tasks with pheromone communication despite lack of top-down style control. We have examined applications of this pheromone mechanism towards ITS. In this paper, a car is regarded as an insect that releases virtual pheromone that represents traffic congestion level. We propose a method to predict traffic congestion of the immediate future through a pheromone mechanism without resort to the use of a traffic control center. Furthermore we introduced multi semantics of pheromone to refine the prediction performance. We evaluate our method using actual traffic data and the results indicate our method is superior to other conventional techniques and our previous method.

    Original languageEnglish
    Title of host publicationIntelligent Transportation Society of America - 12th World Congress on Intelligent Transport Systems 2005
    Pages964-975
    Number of pages12
    Volume2
    Publication statusPublished - 2009
    Event12th World Congress on Intelligent Transport Systems 2005 - San Francisco, CA
    Duration: 2005 Nov 62005 Nov 10

    Other

    Other12th World Congress on Intelligent Transport Systems 2005
    CitySan Francisco, CA
    Period05/11/605/11/10

    Fingerprint

    Traffic congestion
    traffic
    Traffic control
    traffic congestion
    Railroad cars
    Semantics
    Communication
    traffic control
    semantics
    communication
    lack
    performance

    Keywords

    • Genetic algorithm
    • Traffic prediction
    • Virtual pheromone

    ASJC Scopus subject areas

    • Mechanical Engineering
    • Electrical and Electronic Engineering
    • Control and Systems Engineering
    • Transportation
    • Automotive Engineering
    • Computer Networks and Communications
    • Artificial Intelligence
    • Computer Science Applications

    Cite this

    Masutani, O., Sasaki, H., Iwasaki, H., Ando, Y., Fukazawa, Y., & Honiden, S. (2009). Traffic prediction using pheromone model. In Intelligent Transportation Society of America - 12th World Congress on Intelligent Transport Systems 2005 (Vol. 2, pp. 964-975)

    Traffic prediction using pheromone model. / Masutani, Osamu; Sasaki, Hiroshi; Iwasaki, Hirotoshi; Ando, Yasushi; Fukazawa, Yoshiaki; Honiden, Shinichi.

    Intelligent Transportation Society of America - 12th World Congress on Intelligent Transport Systems 2005. Vol. 2 2009. p. 964-975.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Masutani, O, Sasaki, H, Iwasaki, H, Ando, Y, Fukazawa, Y & Honiden, S 2009, Traffic prediction using pheromone model. in Intelligent Transportation Society of America - 12th World Congress on Intelligent Transport Systems 2005. vol. 2, pp. 964-975, 12th World Congress on Intelligent Transport Systems 2005, San Francisco, CA, 05/11/6.
    Masutani O, Sasaki H, Iwasaki H, Ando Y, Fukazawa Y, Honiden S. Traffic prediction using pheromone model. In Intelligent Transportation Society of America - 12th World Congress on Intelligent Transport Systems 2005. Vol. 2. 2009. p. 964-975
    Masutani, Osamu ; Sasaki, Hiroshi ; Iwasaki, Hirotoshi ; Ando, Yasushi ; Fukazawa, Yoshiaki ; Honiden, Shinichi. / Traffic prediction using pheromone model. Intelligent Transportation Society of America - 12th World Congress on Intelligent Transport Systems 2005. Vol. 2 2009. pp. 964-975
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