IoT Based Parking Guidance Using WKNN Algorithm

Drivers are frequently challenged to find parking due to the limited parking lots available in indoor and outdoor parking areas. The number of available parking lots is usually less compared to the number of vehicles. Hence, drivers spend more time looking for vacant parking lots, which eventually delays their tasks, such as paying bills, attending a meeting, visiting a patient at a hospital, etc. In this paper, an intelligent parking system that utilizes indoor positioning using Wi-Fi RSSI fingerprinting and the Weighted K Nearest Neighbors algorithm with real-time navigation is proposed to alleviate the problem. The proposed method applies an IoT approach to estimate user location and detect vacant parking lots using sensors technology. Data from sensors are sent to an IoT cloud in real-time and displayed via an app, allowing users to acquire the route and get navigated to their desired parking spot with minimal effort. In addition, the proposed system is cost-efficient since it uses existing technologies and infrastructure.