Published Paper Details:

The exponential rise in urbanization and vehicle ownership has resulted in a substantial increase in the demand for parking spaces in metropolitan cities. However, this surge has not been matched by corresponding growth in parking infrastructure, leading to severe challenges such as traffic congestion, time wastage, increased fuel consumption, and elevated pollution levels. Studies indicate that a significant percentage of inner-city traffic is caused by drivers circling in search of available parking spaces. This not only creates inefficiencies in urban mobility but also contributes to driver frustration, missed appointments, and decreased productivity. To address these persistent urban challenges, a smart and efficient parking space management system (psms) is essential. This paper proposes a comprehensive Parking Space Management System based on the integration of emerging technologies such as the Internet of Things (IoT), cloud computing, embedded systems, and mobile application development. The goal of the proposed system is to optimize parking space usage, reduce traffic congestion, and provide real-time information to drivers about available parking spaces. The system is designed to be user-friendly, scalable, and adaptable to various environments such as shopping malls, office complexes, hospitals, universities, and public parking lots. At the core of the system is an IoT-based architecture that employs a network of sensors, microcontrollers, and wireless communication protocols to monitor and transmit real-time data about parking space occupancy. Ultrasonic or infrared sensors are placed in each parking slot to detect the presence or absence of a vehicle. These sensors are connected to a central processing unit, typically based on low-cost microcontrollers such as Arduino or Raspberry Pi, which aggregates data and transmits it to a cloud-based server. This centralized data repository processes incoming data and updates the status of each parking slot in real-time.