Automated Multi-Story Car Parking System Using IoT and Embedded Technologies for Efficient Space Utilization

Abstract

Efficient parking management has become a pressing challenge in urban areas due to increasing vehicle numbers and limited parking spaces. This project introduces a Smart Multi-Story Car Parking System that leverages IoT and embedded systems to streamline parking operations. The system utilizes Arduino microcontrollers, stepper motors, RFID technology, and IR sensors to automate vehicle detection, slot allocation, and transport processes. Real-time status indicators and an intuitive software interface enhance user convenience while optimizing space utilization. Designed for urban infrastructure like malls, IT hubs, and multi-story parking structures, the system minimizes search time, eliminates unnecessary human intervention, and promotes efficient parking management with cost-effective and simple technology. This innovative solution offers a robust approach to addressing modern urban parking challenges. In this project, we propose a solution to effectively manage vehicle inflow and outflow within complex multi-story parking facilities. The system detects vehicles using IR sensors, provides real-time feedback, and automates parking space identification and allocation. With a straightforward design and minimal code complexity, this automated system finds and communicates parking slot availability efficiently, reducing both time and labour. Visual indicators guide users to the nearest available slot, ensuring a seamless experience. This system is ideal for high-traffic areas, reducing dependency on manual labour while delivering accuracy and convenience in parking operations.