Internet of Things Assisted Learning Strategy based Effectual Parking System

To manage data, parking systems now depend on a centralized gateway solution (i.e., the cloud), which creates various possible failure modes, including data loss, extensive delays, and multiple points of failure. Furthermore, features that do not improve parking utilization and revenue are considered throughout the parking space selection process. Because a steady price point is chosen, the pricing strategy is not particularly lucrative. We describe a cloud-based parking management platform that makes use of IoT devices in this research. The proposed Smart Parking system employs Internet of Things (IoT) modules installed regionally to monitor and inform users to the availability of parking spots. A user may also use a mobile app to enquire about parking space availability and book a place. In addition, the paper gives an overview of the system architecture. The paper finishes with a description of system functioning provided as a use case, demonstrating the effectiveness of the proposed paradigm.