Volume 3, Issue 1 (1-2021)                   sjfst 2021, 3(1): 10-17 | Back to browse issues page


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Azarshab M, Ghazanfari M, Heidarpoor F. An Intelligent Fuzzy Logic Based Traffic Controller. sjfst. 2021; 3 (1) :10-17
URL: http://sjfst.srpub.org/article-6-96-en.html
School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran.
Abstract:   (206 Views)
Increasing road congestion, travel time, number of accidents, carbon dioxide emissions, and fuel consumption are some of the consequences of growth in the vehicle population. Therefore, intelligent traffic controllers are required to solve road traffic congestion problems. The results of prevalent methods, including preset cycle time controller and vehicle-actuated controller, indicated that they do not effectively perform at traffic peak moments. Therefore, due to the deficiency of common methods, fuzzy logic based traffic signal controllers have attracted a lot of attention among researchers. In this article, a fuzzy logic based algorithm for 4-way intersections is proposed and it consists of two main stages for sorting the phase and determining the green light duration. The proposed system is simulated in the MATLAB programming environment and the performance of the designed controller and a conventional controller is compared for some of the presumed conditions. The results of applying the proposed system indicate that this algorithm has a better performance in different traffic conditions in contrast to a preset cycle time controller and it can reduce the number of vehicles behind traffic lights at intersections and the waiting time of passengers.
Full-Text [PDF 683 kb]   (49 Downloads)    
Type of Study: Research | Subject: Transportation Management
Received: 2020/12/15 | Accepted: 2021/01/25 | Published: 2021/01/30

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