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.
|出版ステータス||Published - 2005 12 1|
|イベント||4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05 - Utrecht, Netherlands|
継続期間: 2005 7 25 → 2005 7 29
|Conference||4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05|
|Period||05/7/25 → 05/7/29|
ASJC Scopus subject areas