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Machine Learning and IoT for Smart Parking Models and Approaches

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Název: Machine Learning and IoT for Smart Parking Models and Approaches
Autoři: R. Abilasha, A. V. Senthil Kumar, Ibrahiem M. M. El Emary, Namita Mishra, Veera Talukdar, Rohaya Latip, Ismail Bin Musirin, Meenakshi Sharma
Zdroj: Advances in Computational Intelligence and Robotics ISBN: 9781668491515
Informace o vydavateli: IGI Global, 2023.
Rok vydání: 2023
Témata: 11. Sustainability, 7. Clean energy
Popis: There is an increase in the number of vehicles in last two decades. So, it becomes important to make effective use of technology to enable free parking in public and private places. In conventional parking systems, drivers face complexity in finding vacant parking slots. It requires more human involvement in the parking zone. To deal with the issue, the authors propose a smart parking system based on IoT and machine learning techniques to manage the real time management of parking and qualms. The proposed solution makes use of smart sensors, cloud computing, cyber physical system. It is victorious in addressing the challenges such as demonstrating status of parking slot in advance to end-user, use of reserved and unreserved parking slots, erroneous parking, real-time analysis of engaged slots, detecting numerous objects in a parking slot such as bike in car slot, error recognition in more mechanism, and traffic management during crest hours. This minimizes the individual interference, saves time, money, and liveliness.
Druh dokumentu: Part of book or chapter of book
DOI: 10.4018/978-1-6684-9151-5.ch019
Přístupové číslo: edsair.doi...........efda50ee50a45e36b9af185d0db9cc6e
Databáze: OpenAIRE
Popis
Abstrakt:There is an increase in the number of vehicles in last two decades. So, it becomes important to make effective use of technology to enable free parking in public and private places. In conventional parking systems, drivers face complexity in finding vacant parking slots. It requires more human involvement in the parking zone. To deal with the issue, the authors propose a smart parking system based on IoT and machine learning techniques to manage the real time management of parking and qualms. The proposed solution makes use of smart sensors, cloud computing, cyber physical system. It is victorious in addressing the challenges such as demonstrating status of parking slot in advance to end-user, use of reserved and unreserved parking slots, erroneous parking, real-time analysis of engaged slots, detecting numerous objects in a parking slot such as bike in car slot, error recognition in more mechanism, and traffic management during crest hours. This minimizes the individual interference, saves time, money, and liveliness.
DOI:10.4018/978-1-6684-9151-5.ch019