Pheromone model: Application to traffic congestion prediction

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

Pheromone model: Application to traffic congestion prediction

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

^*Corresponding author for this work

School of Fundamental Science and Engineering

Research output: Contribution to conference › Paper › peer-review

1 Citation (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 language	English
Pages	1275-1276
Number of pages	2
Publication status	Published - 2005
Event	4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05 - Utrecht, Netherlands Duration: 2005 Jul 25 → 2005 Jul 29

Conference

Conference	4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05
Country/Territory	Netherlands
City	Utrecht
Period	05/7/25 → 05/7/29

Keywords

Pheromone
Traffic congestion prediction

ASJC Scopus subject areas

Engineering(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "Pheromone model: Application to traffic congestion prediction",

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.",

keywords = "Pheromone, Traffic congestion prediction",

author = "Osamu Masutani and Hiroshi Sasaki and Hirotoshi Iwasaki and Yasushi Ando and Yoshiaki Fukazawa and Shinichi Honiden",

year = "2005",

language = "English",

pages = "1275--1276",

note = "4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05 ; Conference date: 25-07-2005 Through 29-07-2005",

}

TY - CONF

T1 - Pheromone model

T2 - 4th International Conference on Autonomous Agents and Multi agent Systems, AAMAS 05

AU - Masutani, Osamu

AU - Sasaki, Hiroshi

AU - Iwasaki, Hirotoshi

AU - Ando, Yasushi

AU - Fukazawa, Yoshiaki

AU - Honiden, Shinichi

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Pheromone

KW - Traffic congestion prediction

UR - http://www.scopus.com/inward/record.url?scp=33644801029&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33644801029&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:33644801029

SP - 1275

EP - 1276

Y2 - 25 July 2005 through 29 July 2005

ER -

Pheromone model: Application to traffic congestion prediction

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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