The multi-agent system with an adaptive-fuzzy algorithm for flow control of traffic networks

Pau-Lo Hsu; Hsing-Han Liu

doi:10.1109/ICSMC.2007.4413780

The multi-agent system with an adaptive-fuzzy algorithm for flow control of traffic networks

Pau-Lo Hsu, Hsing-Han Liu

Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Traffic systems are difficult to be controlled with a simple linear algorithm because of theirhighly-nonlinear natures with different vehicle types, speeds, lengths, and flow rates; moreover, they are time-varied especially in urban areas and industrial parks with high-density employees. This paper will present a traffic flow control strategy with a fuzzy and adaptive algorithm to control traffic signals at an intersection to effectively improve the traffic flow rate [1]. With the recent development of networking technologies, this paper further integrates the proposed adaptive-fuzzy (AN) control and the multi-agent system as the proposed adaptive fuzzy multi-agent system (AF agent) to further improve the flow rate of traffic networks. Results with the VISSIM simulator indicate that the present approach is feasible in modern traffic network management.

Original language	English
Title of host publication	2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8
Publisher	IEEE
Pages	1217-1221
Number of pages	5
ISBN (Print)	978-1-4244-0990-7
DOIs	https://doi.org/10.1109/ICSMC.2007.4413780
State	Published - 2007
Event	2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada Duration: 7 Oct 2007 → 10 Oct 2007

Publication series

Name	IEEE International Conference on Systems Man and Cybernetics Conference Proceedings
ISSN (Print)	1062-922X

Conference

Conference	2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Country	Canada
City	Montreal, QC
Period	7/10/07 → 10/10/07

Keywords

SIMULATION

Access to Document

10.1109/ICSMC.2007.4413780

Fingerprint Dive into the research topics of 'The multi-agent system with an adaptive-fuzzy algorithm for flow control of traffic networks'. Together they form a unique fingerprint.

Cite this

Hsu, P-L., & Liu, H-H. (2007). The multi-agent system with an adaptive-fuzzy algorithm for flow control of traffic networks. In 2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8 (pp. 1217-1221). (IEEE International Conference on Systems Man and Cybernetics Conference Proceedings). IEEE. https://doi.org/10.1109/ICSMC.2007.4413780

@inproceedings{8402306d3f934a87ac36107ca6a8ba8b,

title = "The multi-agent system with an adaptive-fuzzy algorithm for flow control of traffic networks",

abstract = "Traffic systems are difficult to be controlled with a simple linear algorithm because of theirhighly-nonlinear natures with different vehicle types, speeds, lengths, and flow rates; moreover, they are time-varied especially in urban areas and industrial parks with high-density employees. This paper will present a traffic flow control strategy with a fuzzy and adaptive algorithm to control traffic signals at an intersection to effectively improve the traffic flow rate [1]. With the recent development of networking technologies, this paper further integrates the proposed adaptive-fuzzy (AN) control and the multi-agent system as the proposed adaptive fuzzy multi-agent system (AF agent) to further improve the flow rate of traffic networks. Results with the VISSIM simulator indicate that the present approach is feasible in modern traffic network management.",

keywords = "SIMULATION",

author = "Pau-Lo Hsu and Hsing-Han Liu",

year = "2007",

doi = "10.1109/ICSMC.2007.4413780",

language = "English",

isbn = "978-1-4244-0990-7",

series = "IEEE International Conference on Systems Man and Cybernetics Conference Proceedings",

publisher = "IEEE",

pages = "1217--1221",

booktitle = "2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8",

note = "null ; Conference date: 07-10-2007 Through 10-10-2007",

}

Hsu, P-L & Liu, H-H 2007, The multi-agent system with an adaptive-fuzzy algorithm for flow control of traffic networks. in 2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8. IEEE International Conference on Systems Man and Cybernetics Conference Proceedings, IEEE, pp. 1217-1221, 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007, Montreal, QC, Canada, 7/10/07. https://doi.org/10.1109/ICSMC.2007.4413780

The multi-agent system with an adaptive-fuzzy algorithm for flow control of traffic networks. / Hsu, Pau-Lo; Liu, Hsing-Han.

2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8. IEEE, 2007. p. 1217-1221 (IEEE International Conference on Systems Man and Cybernetics Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - The multi-agent system with an adaptive-fuzzy algorithm for flow control of traffic networks

AU - Hsu, Pau-Lo

AU - Liu, Hsing-Han

PY - 2007

Y1 - 2007

N2 - Traffic systems are difficult to be controlled with a simple linear algorithm because of theirhighly-nonlinear natures with different vehicle types, speeds, lengths, and flow rates; moreover, they are time-varied especially in urban areas and industrial parks with high-density employees. This paper will present a traffic flow control strategy with a fuzzy and adaptive algorithm to control traffic signals at an intersection to effectively improve the traffic flow rate [1]. With the recent development of networking technologies, this paper further integrates the proposed adaptive-fuzzy (AN) control and the multi-agent system as the proposed adaptive fuzzy multi-agent system (AF agent) to further improve the flow rate of traffic networks. Results with the VISSIM simulator indicate that the present approach is feasible in modern traffic network management.

AB - Traffic systems are difficult to be controlled with a simple linear algorithm because of theirhighly-nonlinear natures with different vehicle types, speeds, lengths, and flow rates; moreover, they are time-varied especially in urban areas and industrial parks with high-density employees. This paper will present a traffic flow control strategy with a fuzzy and adaptive algorithm to control traffic signals at an intersection to effectively improve the traffic flow rate [1]. With the recent development of networking technologies, this paper further integrates the proposed adaptive-fuzzy (AN) control and the multi-agent system as the proposed adaptive fuzzy multi-agent system (AF agent) to further improve the flow rate of traffic networks. Results with the VISSIM simulator indicate that the present approach is feasible in modern traffic network management.

KW - SIMULATION

U2 - 10.1109/ICSMC.2007.4413780

DO - 10.1109/ICSMC.2007.4413780

M3 - Conference contribution

SN - 978-1-4244-0990-7

T3 - IEEE International Conference on Systems Man and Cybernetics Conference Proceedings

SP - 1217

EP - 1221

BT - 2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8

PB - IEEE

Y2 - 7 October 2007 through 10 October 2007

ER -