Design of the Intelligent Linker Control System Based on 5G Technology
In the era of the Internet and the burgeoning development of smart cities, urban systems, and services are increasingly interconnected, leading to enhanced resource utilization efficiency and refined urban management. The advent of 5G technology marks a significant milestone, further integrating into the fabric of daily life and offering unprecedented opportunities for urban infrastructure advancements. This paper introduces a novel 5G-enabled smart grid system designed to address the prevalent issue of unreliable traditional traffic light systems, which are prone to frequent malfunctions with unidentified fault points. Our innovative product leverages an STM32 microcontroller to actively monitor and diagnose traffic light systems, pin-pointing the exact location of malfunctions with precision. This capability not only ensures the reliability of traffic management but also significantly enhances the responsiveness and safety of urban traffic flow. By harnessing the high-speed connectivity of 5G networks, our system facilitates real-time monitoring and control, thereby optimizing traffic management and contributing to the broader goals of smart city development. This research presents a comprehensive analysis of the system's architecture, the integration of 5G technology, and the performance evaluation of the proposed solution. The findings underscore the potential of our 5G smart grid system to revolutionize urban traffic management, offering a scalable and efficient solution to the challenges posed by legacy traffic light infrastructures.
Authors
- Anton Louise P. De Ocampo (ORCID: https://orcid.org/0000-0002-6280-6259)
- Felicito S. Caluyo (ORCID: https://orcid.org/0009-0009-7271-5682)
- Rowell Hernandez (ORCID: https://orcid.org/0000-0002-8748-6271)
- Hongjun Sun (ORCID: https://orcid.org/0000-0003-3480-427X)
Institutions
- Batangas State University (PH)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/iccc62609.2024.10941947
- Primary Topic
- Wireless Sensor Networks and IoT
- Type
- article
- Field-Weighted Citation Impact
- 0.00