A Systematic Literature Review on the Utilization of Automatic Parking Sensor Technology to Enhance Parking Space Efficiency in Urban Areas

Urbanization has caused a surge in the number of vehicles, which has exacerbated parking problems in densely populated areas. This study examines the role of automatic parking sensor technology in addressing these challenges by improving parking space utilization, reducing the time spent searching for parking, and mitigating traffic congestion. The research uses a systematic literature review (SLR) approach to analyze relevant studies on the components and implementation of parking sensor systems in urban settings. Furthermore, a Python-based simulation was conducted to demonstrate the functionality of automatic parking sensors. The simulation effectively shows real-time parking space detection and availability updates using sensor data. The findings suggest that automatic parking sensors can significantly optimize parking space management and reduce parking search time. However, challenges such as technological integration, data security, and system maintenance must be addressed for broader adoption. Future research should focus on refining sensor accuracy and developing scalable communication protocols.