There has been an exponential growth in the vehicle population in recent times, adding to the metropolitan traffic. This increase in the number of vehicles has led to the problem of inadequate parking spaces resulting in traffic congestion. To address this challenge, a smart parking system is proposed in this paper, which makes use of TIME RESOURCE SHARING to effectively utilize the parking spaces based on peak demand time and enables prior identification and reservation of parking space with the help of unique identification. The system periodically updates the parking status. The interaction of the driver and the owner of the parking space takes place through the application connected through the cloud. The related work in this area has also been referred. The proposed system has the potential to transform the current parking method and alleviate the traffic congestion caused by insufficient parking space.


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    Titel :

    An IoT-Based Smart Parking System for Smart Cities


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Zhang, Yu-Dong (Herausgeber:in) / Senjyu, Tomonobu (Herausgeber:in) / So-In, Chakchai (Herausgeber:in) / Joshi, Amit (Herausgeber:in) / Mane, Venkatesh (Autor:in) / Kubasadgoudar, Ashwin R. (Autor:in) / Shet, Raghavendra (Autor:in) / Iyer, Nalini C. (Autor:in)


    Erscheinungsdatum :

    2022-07-06


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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