Telemetry website for vehicle-to-vehicle and vehicle-to-infrastructure communication
Intelligent Transportation Systems (ITS) highlights the need for efficient Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication. This research establishes a real-time telemetry framework based on Message Queuing Telemetry Transport (MQTT) operating through WebSocket to enable r...
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| Format: | Article |
| Language: | en |
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UiTM Press
2025
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| Online Access: | https://ir.uitm.edu.my/id/eprint/126338/1/126338.pdf https://ir.uitm.edu.my/id/eprint/126338/ https://jeesr.uitm.edu.my |
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| _version_ | 1850177216118259712 |
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| author | Hadri, Muhammad Hakimi Aiman Ahmat Ruslan, Fazlina Johari, Juliana |
| author_facet | Hadri, Muhammad Hakimi Aiman Ahmat Ruslan, Fazlina Johari, Juliana |
| author_sort | Hadri, Muhammad Hakimi Aiman |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Intelligent Transportation Systems (ITS) highlights the need for efficient Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication. This research establishes a real-time telemetry framework based on Message Queuing Telemetry Transport (MQTT) operating through WebSocket to enable rapid data transmission between vehicle units, traffic light units, and a web-based monitoring system. The system combines GPS data processing, real-time vehicle tracking, and traffic light status updates to display information through a web-based monitoring system that integrates Google Maps API for map interface. The backend of the web development utilizes GPS coordinates to determine vehicle speed before storing structured telemetry data in an online database by using InfluxDB, a timeseries database for historical analysis. Performance evaluation of the telemetry system focuses on MQTT protocol efficiency, WebSocket latency, and GPS integrity to ensure a robust and reliable V2I telemetry system. Existent literature indicates that MQTT communication protocol, particularly with QoS 1, ensures efficient and reliable telemetry with minimal delay, it is expected to deliver the benefit to this telemetry system. Additionally, the study highlights that increased vehicle speeds correlate with higher GPS positioning errors, necessitating improved filtering techniques for enhanced positional accuracy. Given these findings, this research explores the requirement for robust V2I communication frameworks in ITS, paving the way for future advancements through machine learning-based predictive modeling, 5G connectivity, and edge computing for enhanced processing efficiency. By addressing critical gaps in real-time telemetry, this study offers a roadmap to the development of scalable and efficient ITS solutions that support urban traffic optimization. |
| format | Article |
| id | my.uitm.ir-126338 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2025 |
| publisher | UiTM Press |
| record_format | eprints |
| spelling | my.uitm.ir-1263382025-11-17T02:57:34Z https://ir.uitm.edu.my/id/eprint/126338/ Telemetry website for vehicle-to-vehicle and vehicle-to-infrastructure communication jeesr Hadri, Muhammad Hakimi Aiman Ahmat Ruslan, Fazlina Johari, Juliana Electronics in transportation Communication systems. Including intelligent transportation systems Intelligent Transportation Systems (ITS) highlights the need for efficient Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication. This research establishes a real-time telemetry framework based on Message Queuing Telemetry Transport (MQTT) operating through WebSocket to enable rapid data transmission between vehicle units, traffic light units, and a web-based monitoring system. The system combines GPS data processing, real-time vehicle tracking, and traffic light status updates to display information through a web-based monitoring system that integrates Google Maps API for map interface. The backend of the web development utilizes GPS coordinates to determine vehicle speed before storing structured telemetry data in an online database by using InfluxDB, a timeseries database for historical analysis. Performance evaluation of the telemetry system focuses on MQTT protocol efficiency, WebSocket latency, and GPS integrity to ensure a robust and reliable V2I telemetry system. Existent literature indicates that MQTT communication protocol, particularly with QoS 1, ensures efficient and reliable telemetry with minimal delay, it is expected to deliver the benefit to this telemetry system. Additionally, the study highlights that increased vehicle speeds correlate with higher GPS positioning errors, necessitating improved filtering techniques for enhanced positional accuracy. Given these findings, this research explores the requirement for robust V2I communication frameworks in ITS, paving the way for future advancements through machine learning-based predictive modeling, 5G connectivity, and edge computing for enhanced processing efficiency. By addressing critical gaps in real-time telemetry, this study offers a roadmap to the development of scalable and efficient ITS solutions that support urban traffic optimization. UiTM Press 2025-10 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/126338/1/126338.pdf Hadri, Muhammad Hakimi Aiman and Ahmat Ruslan, Fazlina and Johari, Juliana (2025) Telemetry website for vehicle-to-vehicle and vehicle-to-infrastructure communication. (2025) Journal of Electrical and Electronic Systems Research (JEESR) <https://ir.uitm.edu.my/view/publication/Journal_of_Electrical_and_Electronic_Systems_Research_=28JEESR=29.html>, 27 (1): 19. pp. 157-164. ISSN 1985-5389 https://jeesr.uitm.edu.my 10.24191/jeesr.v27i1.019 10.24191/jeesr.v27i1.019 10.24191/jeesr.v27i1.019 |
| spellingShingle | Electronics in transportation Communication systems. Including intelligent transportation systems Hadri, Muhammad Hakimi Aiman Ahmat Ruslan, Fazlina Johari, Juliana Telemetry website for vehicle-to-vehicle and vehicle-to-infrastructure communication |
| title | Telemetry website for vehicle-to-vehicle and vehicle-to-infrastructure communication |
| title_full | Telemetry website for vehicle-to-vehicle and vehicle-to-infrastructure communication |
| title_fullStr | Telemetry website for vehicle-to-vehicle and vehicle-to-infrastructure communication |
| title_full_unstemmed | Telemetry website for vehicle-to-vehicle and vehicle-to-infrastructure communication |
| title_short | Telemetry website for vehicle-to-vehicle and vehicle-to-infrastructure communication |
| title_sort | telemetry website for vehicle-to-vehicle and vehicle-to-infrastructure communication |
| topic | Electronics in transportation Communication systems. Including intelligent transportation systems |
| url | https://ir.uitm.edu.my/id/eprint/126338/1/126338.pdf https://ir.uitm.edu.my/id/eprint/126338/ https://jeesr.uitm.edu.my |
| url_provider | http://ir.uitm.edu.my/ |