Poor traffic condition and severe road traffic congestion are an everlasting problem in metropolitan cities of India. With the rapid increase in vehicles, metropolitan cities of India are indispensably facing traffic congestion, which results in economic and environmental losses. This paper presents a system dynamics simulation model to reduce the traffic congestion by implementing an Intelligent Transportation System (ITS) in metropolitan cities of India. ITS refers to the interconnection of an adaptive and intelligent integration of vehicles, drivers, and the transportation system. The system dynamics simulation model aims to predict the impact of innovative and intelligent transportation strategies and their implementation in metropolitan cities of India. The developed system dynamics simulation model helps in improving the transportation system of metropolitan cities of India and also identifies crucial factors to relieve traffic congestion. It is found that implementation of developed system dynamics simulation model not only helps in reducing traffic congestion but also enhances safety and mobility. The innovative scientific contributions of this research study include system dynamics simulation model development and scenarios generation for reducing traffic congestion by improving reliability, safety and mobility.


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    Titel :

    System Dynamics Simulation Model to Reduce the Traffic Congestion of Metropolitan Cities of India by Implementing Intelligent Transportation System


    Weitere Titelangaben:

    Advances in Computer Science res


    Beteiligte:
    Wahi, Nadihah (Herausgeber:in) / Mohd Safari, Muhammad Aslam (Herausgeber:in) / Hasni, Roslan (Herausgeber:in) / Abdul Razak, Fatimah (Herausgeber:in) / Gafurjan, Ibragimov (Herausgeber:in) / Fitrianto, Anwar (Herausgeber:in) / Rajput, Aditi (Autor:in) / Jain, Madhuri (Autor:in)

    Kongress:

    International Conference on Mathematical Sciences and Statistics ; 2022 March 15, 2022 - March 16, 2022



    Erscheinungsdatum :

    2022-12-06


    Format / Umfang :

    16 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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