Algorithm development of an intelligent traffic light control system.
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DOI:
https://doi.org/10.15625/1813-9663/28/4/1371Keywords:
Đèn giao thông, điều khiển mờ, xử lý ảnhAbstract
This study presents an implementation of an intelligent traffic light control system for a crossroads based on combination of image processing and fuzzy controller. After certain seconds of red light, traffic densities are estimated from captured images. Based on this estimated result, a fuzzy controller determines the length of the next green light period in order to generate longer period for higher density road, vice versa. A software was developed to evaluate the suggestion algorithm, and to compare it with traditional timer-based traffic light system. Simulation results indicate that the road with higher traffic flow has a longer green light period, and vice versa. When the traffic’s densities of 2 roads are 5 times different, the vehicle red-light waiting times of the suggested system are reduced from 15 to 20 times better than the traditional system.Downloads
Published
18-12-2012
How to Cite
[1]N. C. Ngôn and N. L. Ngọc Bích, “Algorithm development of an intelligent traffic light control system”., J. Comput. Sci. Cybern., vol. 28, no. 4, pp. 373–383, Dec. 2012.
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Section
Cybernetics
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