The field of smart parking is growing rapidly and has many potential applications in densely populated urban areas. Internet of Things (IoT) and Arduino-based smart parking systems offer an innovative solution to solve parking problems in real time. Among other things, these systems reduce traffic congestion, improve road safety, reduce greenhouse gas emissions, and improve user experience. In this paper, we present a smart parking system that uses an innovative architecture and algorithm to optimize vehicle parking. The system also tracks cars, their location, entry and exit details, and account management. An infrared sensor is integrated into the system to monitor the entry and exit of vehicles. This sensor uses beams of light to detect the presence of vehicles in a specific parking area, allowing for efficient use of available parking space. This project has many benefits, such as optimized space utilization, reduced congestion and pollution, and an improved user experience. The system can be deployed in a variety of environments, including underground parking garages, shopping malls, airports, and train stations.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    IoT-Enabled Smart Parking: Enhancing Efficiency and Sustainability in Smart Cities


    Beteiligte:
    Ouhammou Imrane (Autor:in) / Chafiq Tarik (Autor:in) / Hmamou Mohamed (Autor:in)


    Erscheinungsdatum :

    2023




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Technology Enabled Smart Efficiency Parking System (TESEPS)

    Nath, Amiyangshu / Konwar, Himshekhar Nr. / Kumar, Kapil et al. | Springer Verlag | 2020


    IoT-Based Smart Parking for Smart Cities

    Araujo, Anderson / Kalebe, Rubem / Girao, Gustavo et al. | IEEE | 2017


    Modern Parking Solutions for Smart Cities

    Babic, M. / Vekic, A. / Stanojevic, M. et al. | TIBKAT | 2020


    An IoT-Based Smart Parking System for Smart Cities

    Mane, Venkatesh / Kubasadgoudar, Ashwin R. / Shet, Raghavendra et al. | Springer Verlag | 2022


    Modern Parking Solutions for Smart Cities

    Babic, M. / Vekic, A. / Stanojevic, M. et al. | TIBKAT | 2020