Multi-agents Systems for Intelligent Control of Traffic Signals

Masoud Mohammadian

doi:10.1109/CIMCA.2006.152

Multi-agents Systems for Intelligent Control of Traffic Signals

Masoud Mohammadian

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

7 Citations (Scopus)

33 Downloads (Pure)

Abstract

In this paper the application of a multiagent system for controlling a set of traffic signals is considered. A fuzzy logic control scheme to regulate the flow of traffic approaching a set of three intersections is presented. The signal timing parameters, green phase splits and offset, are adjusted online based on the actual traffic approaching each intersection. An adaptive fuzzy logic traffic controller (FLTC) is used to adjust the green phase splits of the north-south and east-west approaches of each traffic signal. Each intersection is coordinated with its adjacent intersections by a multiagent system. The multiagent system uses a fuzzy rule based system for its decision making to coordinate all three intersections simultaneously. The effectiveness of the proposed control strategy is established through simulations

Original language	English
Title of host publication	International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)
Editors	Masoud Mohammadian
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1-6
Number of pages	6
ISBN (Print)	0769527310
DOIs	https://doi.org/10.1109/CIMCA.2006.152
Publication status	Published - 2006
Event	CIMCA'2006 and IAWTIC'2006 - Sydney, Australia Duration: 29 Nov 2006 → 1 Dec 2006

Conference

Conference	CIMCA'2006 and IAWTIC'2006
Country/Territory	Australia
City	Sydney
Period	29/11/06 → 1/12/06

Access to Document

10.1109/CIMCA.2006.152

PaperFinal published version, 553 KB

Cite this

Mohammadian, M. (2006). Multi-agents Systems for Intelligent Control of Traffic Signals. In M. Mohammadian (Ed.), International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06) (pp. 1-6). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CIMCA.2006.152

Mohammadian, Masoud. / Multi-agents Systems for Intelligent Control of Traffic Signals. International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06). editor / Masoud Mohammadian. USA : IEEE, Institute of Electrical and Electronics Engineers, 2006. pp. 1-6

@inproceedings{cc55177f1cb24bebb02022f8ef8de753,

title = "Multi-agents Systems for Intelligent Control of Traffic Signals",

abstract = "In this paper the application of a multiagent system for controlling a set of traffic signals is considered. A fuzzy logic control scheme to regulate the flow of traffic approaching a set of three intersections is presented. The signal timing parameters, green phase splits and offset, are adjusted online based on the actual traffic approaching each intersection. An adaptive fuzzy logic traffic controller (FLTC) is used to adjust the green phase splits of the north-south and east-west approaches of each traffic signal. Each intersection is coordinated with its adjacent intersections by a multiagent system. The multiagent system uses a fuzzy rule based system for its decision making to coordinate all three intersections simultaneously. The effectiveness of the proposed control strategy is established through simulations",

author = "Masoud Mohammadian",

year = "2006",

doi = "10.1109/CIMCA.2006.152",

language = "English",

isbn = "0769527310",

pages = "1--6",

editor = "Masoud Mohammadian",

booktitle = "International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "CIMCA'2006 and IAWTIC'2006 ; Conference date: 29-11-2006 Through 01-12-2006",

}

Mohammadian, M 2006, Multi-agents Systems for Intelligent Control of Traffic Signals. in M Mohammadian (ed.), International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06). IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 1-6, CIMCA'2006 and IAWTIC'2006, Sydney, Australia, 29/11/06. https://doi.org/10.1109/CIMCA.2006.152

Multi-agents Systems for Intelligent Control of Traffic Signals. / Mohammadian, Masoud.
International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06). ed. / Masoud Mohammadian. USA: IEEE, Institute of Electrical and Electronics Engineers, 2006. p. 1-6.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - Multi-agents Systems for Intelligent Control of Traffic Signals

AU - Mohammadian, Masoud

PY - 2006

Y1 - 2006

N2 - In this paper the application of a multiagent system for controlling a set of traffic signals is considered. A fuzzy logic control scheme to regulate the flow of traffic approaching a set of three intersections is presented. The signal timing parameters, green phase splits and offset, are adjusted online based on the actual traffic approaching each intersection. An adaptive fuzzy logic traffic controller (FLTC) is used to adjust the green phase splits of the north-south and east-west approaches of each traffic signal. Each intersection is coordinated with its adjacent intersections by a multiagent system. The multiagent system uses a fuzzy rule based system for its decision making to coordinate all three intersections simultaneously. The effectiveness of the proposed control strategy is established through simulations

AB - In this paper the application of a multiagent system for controlling a set of traffic signals is considered. A fuzzy logic control scheme to regulate the flow of traffic approaching a set of three intersections is presented. The signal timing parameters, green phase splits and offset, are adjusted online based on the actual traffic approaching each intersection. An adaptive fuzzy logic traffic controller (FLTC) is used to adjust the green phase splits of the north-south and east-west approaches of each traffic signal. Each intersection is coordinated with its adjacent intersections by a multiagent system. The multiagent system uses a fuzzy rule based system for its decision making to coordinate all three intersections simultaneously. The effectiveness of the proposed control strategy is established through simulations

U2 - 10.1109/CIMCA.2006.152

DO - 10.1109/CIMCA.2006.152

M3 - Conference contribution

SN - 0769527310

SP - 1

EP - 6

BT - International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)

A2 - Mohammadian, Masoud

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - USA

T2 - CIMCA'2006 and IAWTIC'2006

Y2 - 29 November 2006 through 1 December 2006

ER -

Mohammadian M. Multi-agents Systems for Intelligent Control of Traffic Signals. In Mohammadian M, editor, International Conference on Computational Intelligence for Modelling Control and Automation, and International Conference on Intelligent Agents,Web Technologies and Internet Commerce (CIMCA-IAWTIC'06). USA: IEEE, Institute of Electrical and Electronics Engineers. 2006. p. 1-6 doi: 10.1109/CIMCA.2006.152

Multi-agents Systems for Intelligent Control of Traffic Signals

Abstract

Conference

Access to Document

Fingerprint

Cite this