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Title	Urbanpark: Advancing Parking Infrastructure With Lorawan-Enabled Smart Parking Modules
ID_Doc	60303
Authors	Moshayedi A.J.; Roy A.S.; Khan Z.H.; Yang S.
Year	2025
Published	Proceedings of 2025 4th International Conference on Computing and Information Technology, ICCIT 2025
DOI	http://dx.doi.org/10.1109/ICCIT63348.2025.10989299
Abstract	This paper presents a novel approach to address the escalating challenges in urban parking management by developing a LoRaWAN-based autonomous smart parking system (UrbanPark). With urbanization and increased vehicle populations, there is a pressing need for innovative solutions to optimize resource utilization and enhance user experience of vehicle parking. Leveraging the capabilities of Long-Range Wide Area Network (LoRaWAN), this system integrates a mobile application, a web-based interface, and LoRaWAN-enabled smart parking modules to provide users and administrators with real-time parking space availability information. The mobile application offers a user-friendly interface for drivers to locate and reserve parking spaces, while the web-based interface empowers administrators with comprehensive oversight and management functionalities. The LoRaWAN-enabled smart parking modules autonomously monitor parking space occupancy and transmit data efficiently over long distances with minimal energy consumption and are implemented in Raspberry Pi as the server. Through this integration, the system offers scalable, cost-effective, and sustainable solutions to urban parking management challenges, contributing to the development of smarter, more connected urban environments. © 2025 IEEE.
Author Keywords	Embedded Parking; IoT; LoRaWAN; Parking System; Raspberry Pi; Smart City

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