Parking a vehicle in dense traffic environments often leads to excessive driving time in search of free space, which leads to congestion and environmental pollution. Lack of guidance information about vacant parking spaces is one reason for inefficient parking behavior. Smart parking sensors and technologies facilitate the guidance of drivers to free parking spaces, thereby improving parking efficiency. Currently, no such sensors or technologies are used for the open parking lot. This study reviews the literature on the usage of smart parking sensors, technologies, and applications and evaluates their applicability to open parking lots. To develop smart parking applications for open parking lots, further research is needed in deep learning and multi-agent systems.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    A Study on Deep Learning Based Parking Lot Allotment to the Vehicles


    Beteiligte:
    Aziza Algarni (Autor:in)


    Erscheinungsdatum :

    2022




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Vehicle Parking System based on Pattern Allotment

    Devi, S. Sharmila / Dhanabalan, S.M. / Hariharan, M. et al. | IEEE | 2023



    Allotment booking in intermodal transport

    Ilona Jaržemskienė / Vytautas Jaržemskis | DOAJ | 2009

    Freier Zugriff

    Allotment booking in intermodal transport

    I. Jaržemskienė / V. Jaržemskis | DOAJ | 2009

    Freier Zugriff

    Deep Learning-Based Mobile Parking Control System

    HUH BYOUNGHWEH / CHUNG SANGWOON / CHO TAIHOON et al. | Europäisches Patentamt | 2021

    Freier Zugriff