Machine learning and IoT for smart parking models and approaches

• Published in: Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management
• Main Author: Abilasha R.; Senthil Kumar A.V.; El Emary I.M.M.; Mishra N.; Talukdar V.; Latip R.; Bin Musirin I.; Sharma M.
• Format: Book chapter
• Language: English
• Published: IGI Global 2023
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175386286&doi=10.4018%2f978-1-6684-9151-5.ch019&partnerID=40&md5=a772bce3817a85e31dbed601c16e670a

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. © 2023, IGI Global. All rights reserved.