A MULTI-AGENT TRAFFIC CONTROLLER WITH DISTRIBUTED FUZZY INTELLIGENCE

Ahmet Sahan; Tatyana Yakhno

1st International ICST Workshop on Computational Transportation Science

Research Article

A MULTI-AGENT TRAFFIC CONTROLLER WITH DISTRIBUTED FUZZY INTELLIGENCE

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/ICST.MOBIQUITOUS2008.3903,
    author={Ahmet Sahan and Tatyana Yakhno},
    title={A MULTI-AGENT TRAFFIC CONTROLLER WITH DISTRIBUTED FUZZY INTELLIGENCE},
    proceedings={1st International ICST Workshop on Computational Transportation Science},
    publisher={ACM},
    proceedings_a={IWCTS},
    year={2010},
    month={5},
    keywords={Multi Agents Fuzzy Control Adaptive Traffic Control},
    doi={10.4108/ICST.MOBIQUITOUS2008.3903}
}

Ahmet Sahan
Tatyana Yakhno
Year: 2010
A MULTI-AGENT TRAFFIC CONTROLLER WITH DISTRIBUTED FUZZY INTELLIGENCE
IWCTS
ICST
DOI: 10.4108/ICST.MOBIQUITOUS2008.3903

Ahmet Sahan¹^,*, Tatyana Yakhno²^,*

1: Dokuz Eylul University, Dept. of Computer Engineering, İzmir – Turkey Tel: +90 2323283339
2: Dokuz Eylul University, Dept. of Computer Engineering, İzmir – Turkey Tel: +90 2324127401

*Contact email: asahan@aselsan.com.tr, yakhno@cs.deu.edu.tr

Abstract

Instantaneous vehicle overloads on urban roads are the most critical problem of the traffic management domain. Time-scheduled traffic control systems can not handle these non-uniform congestion cases. Therefore, adaptive traffic control systems get more attraction. In this paper, a hierarchical multi-role agent traffic controller with distributed fuzzy characteristics is proposed to synchronize any number of traffic signals in a target region based on the vehicle volume of the road lanes. With the proposed controller, vehicle throughput is increased significantly, specifically compared to the pre-timed fixed traffic control systems

Keywords: Multi Agents Fuzzy Control Adaptive Traffic Control

Published: 2010-05-16
Publisher: ACM
Modified: 2010-05-16

: http://dx.doi.org/10.4108/ICST.MOBIQUITOUS2008.3903