Living in cities in modern times includes dealing with traffic congestion. In addition to difficulty in transportation, traffic congestion causes a lot of environmental pollution which has a huge impact on human health. Losing the majority of daily time in traffic congestion to/from work, school, malls, etc., leads to difficult and stressful daily life. To efficiently solve the traffic congestion problem, an intelligent traffic control system is designed. The use of traffic lights with flexible time duration significantly reduces traffic congestion. This paper is proposed a new solution for an intelligent control system for traffic lights using fuzzy logic. This solution, in addition to monitoring the number of vehicles at the intersection, the presence of pedestrians at the intersection also takes into account, which makes this paper different from others. Mamdani fuzzy interface system is used. Information on the number of vehicles is obtained by periodically identifying images from surveillance cameras. For detecting pedestrians’ at the place for waiting to cross the pedestrian crossing are used PIR (passive infrared) sensors. A simulation analysis of the proposed solution is performed and the results of this analysis are given in the paper.


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    Title :

    Intelligent Traffic Light Control System Using Fuzzy Logic


    Additional title:

    Lect. Notes in Networks, Syst.


    Contributors:

    Conference:

    International Symposium on Innovative and Interdisciplinary Applications of Advanced Technologies ; 2022 ; Sarajevo, Bosnia and Herzegovina June 23, 2022 - June 26, 2022



    Publication date :

    2022-10-16


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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