The surge in the volume of vehicles on the roads has led to a significant increase in traffic issues. The current transportation and parking facilities are inadequate to handle this rise, causing drivers to struggle with locating parking spaces during peak times. This leads to inefficient time and energy. Therefore, intelligent parking systems are crucial for the development of smart cities to address immediate parking needs. The objectives of intelligent parking systems encompass identifying unoccupied parking spots and tallying parked vehicles. This article introduces a smart parking system proposal that employs real-time image processing methods. This system offers multiple functions, such as detecting available parking spaces, recognizing improperly parked cars, displaying open parking areas, and offering guidance to different types of parking spaces, including those designated for handicapped individuals. By utilizing the existing video surveillance setup, this system captures and analyzes sequences of images to direct and update drivers regarding vacant parking spaces.


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    Titel :

    Real-Time Smart Parking Integration in Intelligent Transportation Systems (ITS)


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Arai, Kohei (Herausgeber:in) / Mekni, Mehdi (Autor:in) / Atilho, Steven (Autor:in) / Greenfield, Benjamin (Autor:in) / Placzek, Benjamin (Autor:in) / Nassar, Mohamed (Autor:in)

    Kongress:

    Proceedings of the Future Technologies Conference ; 2023 ; Vancouver, BC, Canada October 19, 2023 - October 20, 2023



    Erscheinungsdatum :

    09.11.2023


    Format / Umfang :

    25 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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