UrbanPark: Advancing Parking Infrastructure with LoRaWAN-Enabled Smart Parking Modules

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.

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Publication Details

Published
2025-04-13
DOI
https://doi.org/10.1109/iccit63348.2025.10989299
Citations
1
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
1.01
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article

UrbanPark: Advancing Parking Infrastructure with LoRaWAN-Enabled Smart Parking Modules

Shuxin Yang, Atanu Shuvam Roy, Zeashan Hameed Khan, Ata Jahangir Moshayedi
1 citations
Smart Parking Systems Research
1.01
article

UrbanPark: Advancing Parking Infrastructure with LoRaWAN-Enabled Smart Parking Modules

Shuxin Yang, Atanu Shuvam Roy, Zeashan Hameed Khan, Ata Jahangir Moshayedi
article en
1 citations

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.

King Fahd University of Petroleum and Minerals (SA), Jiangxi University of Science and Technology (CN), Indian Institute of Technology Kanpur (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 25%
Smart Parking Systems Research
1.01
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