Pheromone model: Application to traffic congestion prediction

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

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages1275-1276
Number of pages2
Publication statusPublished - 2005 Dec 1
Event4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05 - Utrecht, Netherlands
Duration: 2005 Jul 252005 Jul 29

Conference

Conference4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05
CountryNetherlands
CityUtrecht
Period05/7/2505/7/29

Keywords

  • Pheromone
  • Traffic congestion prediction

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Masutani, O., Sasaki, H., Iwasaki, H., Ando, Y., Fukazawa, Y., & Honiden, S. (2005). Pheromone model: Application to traffic congestion prediction. 1275-1276. Paper presented at 4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05, Utrecht, Netherlands.