Research Article
A MULTI-AGENT TRAFFIC CONTROLLER WITH DISTRIBUTED FUZZY INTELLIGENCE
@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
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
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