Artificial Intelligence-Enabled Smart Parking System

The aim of this study is to explore the development and integration of a smart parking system enabled by advanced AI, which relies on Internet of things (IoT) technologies. The intent behind this system is to enhance the utilization of parking spaces while uplifting driver experience, all possible through delivering dynamic updates regarding parking availability. The technical infrastructure employed for building the system revolves around an amalgamation of smart sensors and cameras using IoT interactions to collect data associated with parked vehicles. This information gets subsequently processed by sophisticated AI algorithms that offer up-to-the-minute details about available parking spots stored in a prevalent database. Further, owing primarily to the technology’s highly functional characteristics, each occupant status predictably ascertains effective insights into plausible available space during driving, via display boards or mobile-based applications. After conducting a comprehensive review, the suggested smart parking system has been found to surpass traditional parking systems in critical areas such as accuracy, dependability, and efficiency. As a result of this new system being utilized, traffic congestion will significantly decrease, resulting in a noticeably improved parking experience and higher park management revenues. One profound advantage of the proposed system is that it has the capability of collecting real-time data on available parking spaces. The benefit of having access to this data is that car owners are guaranteed shorter searches. This study offers ideas for additional study and development in this field and demonstrates how AI with Internet of things technologies might enhance urban transit networks. By improving parking efficiency and giving drivers a better parking experience, the adoption of an “artificial intelligence-enabled smart parking system” offers an opportunity to revolutionize the parking sector.