Intelligent agents in decentralized traffic control

E. D. Ferreira; E. Subrahmanian; D. Manstetten

Intelligent agents in decentralized traffic control

E. D. Ferreira, E. Subrahmanian, D. Manstetten

Universidad de la República

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

38 Scopus citations

Abstract

A multi-agent decentralized strategy to control an urban traffic network is presented. Each agent is in charge of managing the signals of an intersection. Local feedback information about an intersection state is obtained using lane sensors to implement an adaptive strategy for each agent. Cooperating behavior between agents is achieved by exchanging information, called "opinions", between adjacent agents to influence each other decisions. Results for this architecture are shown on a simulated environment modeling an area of the city of Pittsburgh, PA, and comparisons are made with other methods.

Original language	English
Pages	705-709
Number of pages	5
State	Published - 2001
Externally published	Yes
Event	2001 IEEE Intelligent Transportation Systems Proceedings - Oakland, CA, United States Duration: 25 Aug 2001 → 29 Aug 2001

Conference

Conference	2001 IEEE Intelligent Transportation Systems Proceedings
Country/Territory	United States
City	Oakland, CA
Period	25/08/01 → 29/08/01

Keywords

Decentralized control
Dynamic traffic control
Multi-agent systems
Traffic simulation

Cite this

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title = "Intelligent agents in decentralized traffic control",

abstract = "A multi-agent decentralized strategy to control an urban traffic network is presented. Each agent is in charge of managing the signals of an intersection. Local feedback information about an intersection state is obtained using lane sensors to implement an adaptive strategy for each agent. Cooperating behavior between agents is achieved by exchanging information, called {"}opinions{"}, between adjacent agents to influence each other decisions. Results for this architecture are shown on a simulated environment modeling an area of the city of Pittsburgh, PA, and comparisons are made with other methods.",

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AU - Ferreira, E. D.

AU - Subrahmanian, E.

AU - Manstetten, D.

PY - 2001

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AB - A multi-agent decentralized strategy to control an urban traffic network is presented. Each agent is in charge of managing the signals of an intersection. Local feedback information about an intersection state is obtained using lane sensors to implement an adaptive strategy for each agent. Cooperating behavior between agents is achieved by exchanging information, called "opinions", between adjacent agents to influence each other decisions. Results for this architecture are shown on a simulated environment modeling an area of the city of Pittsburgh, PA, and comparisons are made with other methods.

KW - Decentralized control

KW - Dynamic traffic control

KW - Multi-agent systems

KW - Traffic simulation

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M3 - Artículo

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T2 - 2001 IEEE Intelligent Transportation Systems Proceedings

Y2 - 25 August 2001 through 29 August 2001

ER -

Intelligent agents in decentralized traffic control

Abstract

Conference

Keywords

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Cite this