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© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

This paper presents the design, implementation, and testing of a traffic monitoring platform based on 5G-connected Ultra-Wideband (UWB) radars deployed on a university campus. The development of both connected radars and an IoT platform is detailed. The connected radars integrate commercial components, including a Raspberry Pi (RPi), a UWB radar, a standard enclosure, and a custom communication board featuring a 5G module. The IoT platform, which receives data from the radars via MQTT, is scalable, easily deployable, and supports radar management, data visualization, and external data access via an API. The solution was deployed and tested on campus, demonstrating real-time operation over a commercial 5G network with an estimated median latency between the radar and server of 75 ms. A preliminary evaluation conducted on a single radar during peak-hour traffic on a double-lane road, representing a challenging scenario, indicated a high detection rate of 94.81%, a low false detection rate of 1.02%, a high classification accuracy of 97.29%, and a high direction accuracy of 99.66%. These results validate the system’s capability to deliver accurate traffic monitoring.

Details

Title
Development of a 5G-Connected Ultra-Wideband Radar Platform for Traffic Monitoring in a Campus Environment
Author
Martín-Sacristán, David 1   VIAFID ORCID Logo  ; Ravelo, Carlos 2   VIAFID ORCID Logo  ; Trelis Pablo 2   VIAFID ORCID Logo  ; Ortiz, Miriam 2   VIAFID ORCID Logo  ; Fuentes, Manuel 2   VIAFID ORCID Logo 

 iTEAM Research Institute, Universitat Politècnica de València, Camino de Vera s/n, Building 8G, D Access, 46022 Valencia, Spain 
 5G Communications for Future Industry Verticals S.L. (Fivecomm), Camino de Vera s/n, Building 6D, 46022 Valencia, Spain; [email protected] (C.R.); [email protected] (P.T.); [email protected] (M.O.); [email protected] (M.F.) 
First page
3203
Publication year
2025
Publication date
2025
Publisher
MDPI AG
e-ISSN
14248220
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3212114059
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.