Traffic congestion and delays are common problems in most urban areas, especially downtown, industrial and commercial distinct. The traffic condition affects economic development and people's quality of life in the distinct. Therefore, it is imminent to solve the road congestion problem. A significant factor in this problem is inefficient traffic signal timings for intersection, which is the hub of road traffic and plays a vital role in relieving the pressure of traffic. In this research, we propose a district-oriented traffic signal timing optimization algorithm that considers the characteristics of different districts and their traffic patterns. It improves traffic parameters of traffic control and improve road congestion problem by improving the traffic conditions of intersection. Our algorithm leverages real-world data from intersections and the type of transportation vehicles. We compare the performance of our algorithm with Webster classic algorithm using real-world data from smart town transportation system. The results show that our algorithm outperforms the other methods in terms that, the average green letter ratio increased by 7.77%, the saturation decreased by 67.6%, the delay time decreased by 59.08%, the traffic capacity increased by 6.1%, and the transportation capacity increased 68.51%.


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    Titel :

    District-oriented traffic signal timing optimization algorithm: a study in smart town transportation


    Beteiligte:
    Easa, Said (Herausgeber:in) / Wei, Wei (Herausgeber:in) / Jiang, Huajun (Autor:in) / Dong, Hongliang (Autor:in) / Xi, Xianjie (Autor:in) / Hai, Pengyang (Autor:in) / An, Jingbo (Autor:in)

    Kongress:

    Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023) ; 2023 ; Hangzhou, China


    Erschienen in:

    Proc. SPIE ; 12790


    Erscheinungsdatum :

    07.09.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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