Performance of pheromone model for predicting traffic congestion

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

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

46 Citations (Scopus)

Abstract

Social insects perform complex tasks without top-down-style control, by sensing and depositing chemical markers called "pheromone". We have examined applications of this pheromone paradigm towards realizing intelligent transportation systems (ITS). Many of the current traffic management approaches require central processing with the usual risks of overload, bottlenecks and delay. Our work points towards a more decentralized approach that may overcome those risks. We use new category of the ITS infrastructure called the probe-car system. The probe-car system is an emerging data collection method, in which a number of vehicles are used as moving sensors to detect actual traffic situations. In this paper, a car is regarded as a social insect that deposits multi-semantics of (digital) pheromone on the basis of sensed traffic information. We have developed a basic model for predicting traffic congestion in the immediate future using pheromone. In the course of our experimentation, we have identified the need to properly tune the model to achieve acceptable performance. Therefore, we refined the model for practical use. We evaluate our method using real-world traffic data and results indicate applicability to prediction. Furthermore, we describe the practical implications of this method in the real world.

Original languageEnglish
Title of host publicationProceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems
Pages73-80
Number of pages8
DOIs
Publication statusPublished - 2006 Dec 1
EventFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS - Hakodate, Japan
Duration: 2006 May 82006 May 12

Publication series

NameProceedings of the International Conference on Autonomous Agents
Volume2006

Conference

ConferenceFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
CountryJapan
CityHakodate
Period06/5/806/5/12

Keywords

  • Pheromone
  • Traffic congestion prediction

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Ando, Y., Fukazawa, Y., Masutani, O., Iwasaki, H., & Honiden, S. (2006). Performance of pheromone model for predicting traffic congestion. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (pp. 73-80). (Proceedings of the International Conference on Autonomous Agents; Vol. 2006). https://doi.org/10.1145/1160633.1160642