Rapid vehicle growth has generated a variety of problems for traffic management administrations in terms of traffic congestion, pothole, air pollution, accidents, and rut formation. This is due to the expanding size of cities and rising population mobility. This aim of this research to develop a sustainable and economical smart Traffic management system, which provide social and sustainable development using technology to provide an economical solution. Traffic speed can be predicted considering the pavement condition of the road using simulation. This study provides us a sustainable and economical procedure for traffic management system in smart cities. We have performed this research work using blender for simulation and modeling in which we have used a lidar sensor and raspberry pi4 to get the data and transferred it to the laptop using a SQL server. This system helps straightforward, practical, and reasonably priced technology to reduce the amount of human labor required to locate potholes, which will reduce accidents brought on by traffic jam conditions.


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    Titel :

    A Sustainable Traffic Management System for Smart Cities


    Weitere Titelangaben:

    Advances in Computer Science res


    Beteiligte:
    Tamane, Sharvari (Herausgeber:in) / Ghosh, Suddhasheel (Herausgeber:in) / Deshmukh, Sonal (Herausgeber:in) / Bhatt, Arpit Kumar (Autor:in) / Goyal, Deepanshu (Autor:in) / Biswas, Susham (Autor:in)

    Kongress:

    International Conference on Applications of Machine Intelligence and Data Analytics ; 2022 ; Aurangabad, India December 22, 2022 - December 24, 2022



    Erscheinungsdatum :

    01.05.2023


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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