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

Pau-Lo Hsu, Hsing-Han Liu

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8
PublisherIEEE
Pages1217-1221
Number of pages5
ISBN (Print)978-1-4244-0990-7
DOIs
StatePublished - 2007
Event2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada
Duration: 7 Oct 200710 Oct 2007

Publication series

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

Conference

Conference2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
CountryCanada
CityMontreal, QC
Period7/10/0710/10/07

Keywords

  • SIMULATION

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