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A Traffic Light Controlling FLC Considering the Traffic Congestion
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A Traffic Light Controlling FLC Considering the Traffic Congestion
WanKyoo Choi3 , HongSang Yoon3 , Kyungsu Kim4 , IlYong Chung5 and SungJoo Lee5 
| (3) |
Division of Computer, Electronics & Communiation Engineering, Kwangju University, 591-1 Jinwol-dong Nam-gu, Kwangju, Korea |
| (4) |
Kwangju Institute of Science and Technology (K-JIST), 1 Oryong-dong Puk-gu, 500-712 Kwangju, Korea |
| (5) |
School of Computer Engineering, Chosun University, 501-759 Kwangju, Korea |
Abstract
The existing many fuzzy traffic controllers could not be applied to the traffic congestion situation because they have been
developed and applied for a non-congestion traffic flow. In this paper, therefore, we propose a traffic light controlling
FLC that is able to cope with traffic congestion appropriately. In order to consider such situation as missing the green signal
because of spillback of upper crossroad, it uses as an input variable a degree of traffic congestion of upper roads, which
vehicles on a crossroad are to proceed to. It uses the first-order Sugeno fuzzy model for modeling nonlinear traffic flow.
In experiment, we compared and analyzed the fixed traffic signal controller and the proposed FLC. As a result of experiment,
the proposed FLC showed more enhanced performance than the fixed traffic signal controller.
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