Traffic Light Controller Module Based on Particle Swarm Optimization (PSO)
American Journal of Artificial Intelligence
Volume 2, Issue 1, June 2018, Pages: 7-15
Received: Feb. 22, 2018; Accepted: Mar. 10, 2018; Published: Apr. 12, 2018
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Emad Issa Abdul Kareem, Department of Computer Sciences, Mustansiriyah University, Baghdad, Iraq
Ayat Ismail Mejbel, Department of Computer Sciences, Mustansiriyah University, Baghdad, Iraq
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A traffic light control module base on PSO algorithm has been presented to find the optimal set of adjacent streets that are the candidate to take the green period time providing the best vehicles flow. In our previous work a visual traffic light monitoring module has been presented. This module able to determine the traffic conditions (crowded, normal and empty). The proposed control module should be able to integrate with the previous monitoring module to develop a new complete intelligent traffic light system. Promising results have been obtained via applying the proposed traffic light controller module. The controller module shows its ability to select a set of streets. The green period time will be given to these selected streets to achieve the optimal vehicle flow through the traffic light’s intersections. The results show that the proposed control module improving the flow ratio about 85% to 96% with a different number of traffic lights.
Transportation System, Traffic Light Controller System, Particle Swarm Optimization (PSO)
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Emad Issa Abdul Kareem, Ayat Ismail Mejbel, Traffic Light Controller Module Based on Particle Swarm Optimization (PSO), American Journal of Artificial Intelligence. Vol. 2, No. 1, 2018, pp. 7-15. doi: 10.11648/j.ajai.20180201.12
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