This paper presents an innovative Arduino-based smart parking system that utilizes real-time proximity sensing to efficiently manage parking spaces. The system employs ultrasonic sensors, LCDs, LED indicators, and a Wi-Fi module to deliver accurate and intuitive feedback to drivers. When an available parking space is detected, the system automatically updates the parking status and guides the driver to the vacant spot, thereby reducing search time and fuel consumption. The system can also be integrated with cloud databases and mobile applications, enabling remote access to real-time parking data and enhancing user convenience. Automated space allocation minimizes human intervention, increases operational efficiency, and reduces costs. IoT-enabled connectivity ensures seamless data exchange for continuous monitoring and predictive analytics, optimizing overall parking management. Security is enhanced through camera-based vehicle identification, preventing unauthorized access and improving enforcement. The system’s modular and scalable design makes it suitable for deployment in diverse settings such as shopping malls, office complexes, hospitals, airports, and universities.
Archana et al. (Fri,) studied this question.