Real-time GPS Tracking System for IoT-Enabled Connected Vehicles
This paper presents a real-time GPS tracking solution for connected vehicle networks, leveraging IoT, V2X communication, and VANET technologies. The system uses Arduino Uno R3, SIM800L, NEO6M GPS, Node.js, socket, and Firebase for seamless real-time GPS data collection, storage, and visualization. U...
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Format: | Article |
Language: | English |
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EDP Sciences
2023-01-01
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Series: | E3S Web of Conferences |
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Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/49/e3sconf_icies2023_01095.pdf |
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author | Moumen Idriss Rafalia Najat Abouchabaka Jaafar Aoufi Marouane |
author_facet | Moumen Idriss Rafalia Najat Abouchabaka Jaafar Aoufi Marouane |
author_sort | Moumen Idriss |
collection | DOAJ |
description | This paper presents a real-time GPS tracking solution for connected vehicle networks, leveraging IoT, V2X communication, and VANET technologies. The system uses Arduino Uno R3, SIM800L, NEO6M GPS, Node.js, socket, and Firebase for seamless real-time GPS data collection, storage, and visualization. Users can access and monitor GPS data on a web interface. Integration of Node.js and sockets ensures efficient hardware-software communication, while Firebase enables realtime data storage and synchronization for resource management and tracking. The paper explores the system’s applications in dynamic routing for energy efficiency, eco-driving feedback, smart charging stations, environmental data collection, intelligent traffic management, and fleet emissions reduction. These applications highlight the system’s versatility, promoting energy efficiency and sustainability across industries. By incorporating IoT, VANET, and V2X communication, the system enables seamless connectivity and data exchange among vehicles, infrastructure, and the cloud, enhancing decision-making and system efficiency. Insights into system implementation, including IoT, VANET, and real-time GPS integration, are provided. The paper discusses transportation, logistics, and vehicule tracking as potential application domains, which hold promise for optimizing energy consumption. The presented solution offers an efficient, reliable platform for real-time GPS tracking in connected vehicle networks, harnessing IoT, VANET, and V2X communication for enhanced decisionmaking and sustainable transportation systems. |
first_indexed | 2024-03-12T13:32:53Z |
format | Article |
id | doaj.art-ed9be1f7fc2d47baad42859b06214bee |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-03-12T13:32:53Z |
publishDate | 2023-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-ed9be1f7fc2d47baad42859b06214bee2023-08-24T08:21:06ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014120109510.1051/e3sconf/202341201095e3sconf_icies2023_01095Real-time GPS Tracking System for IoT-Enabled Connected VehiclesMoumen Idriss0Rafalia Najat1Abouchabaka Jaafar2Aoufi Marouane3Laboratory of Research in Informatics, Faculty of Sciences, Ibn Tofail UniversityLaboratory of Research in Informatics, Faculty of Sciences, Ibn Tofail UniversityLaboratory of Research in Informatics, Faculty of Sciences, Ibn Tofail UniversityLaboratory of Research in Informatics, Faculty of Sciences, Ibn Tofail UniversityThis paper presents a real-time GPS tracking solution for connected vehicle networks, leveraging IoT, V2X communication, and VANET technologies. The system uses Arduino Uno R3, SIM800L, NEO6M GPS, Node.js, socket, and Firebase for seamless real-time GPS data collection, storage, and visualization. Users can access and monitor GPS data on a web interface. Integration of Node.js and sockets ensures efficient hardware-software communication, while Firebase enables realtime data storage and synchronization for resource management and tracking. The paper explores the system’s applications in dynamic routing for energy efficiency, eco-driving feedback, smart charging stations, environmental data collection, intelligent traffic management, and fleet emissions reduction. These applications highlight the system’s versatility, promoting energy efficiency and sustainability across industries. By incorporating IoT, VANET, and V2X communication, the system enables seamless connectivity and data exchange among vehicles, infrastructure, and the cloud, enhancing decision-making and system efficiency. Insights into system implementation, including IoT, VANET, and real-time GPS integration, are provided. The paper discusses transportation, logistics, and vehicule tracking as potential application domains, which hold promise for optimizing energy consumption. The presented solution offers an efficient, reliable platform for real-time GPS tracking in connected vehicle networks, harnessing IoT, VANET, and V2X communication for enhanced decisionmaking and sustainable transportation systems.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/49/e3sconf_icies2023_01095.pdfreal-time gps trackingvanetinternet of thingscloud computingsimulationenergy efficiencyenvironmental sustainability |
spellingShingle | Moumen Idriss Rafalia Najat Abouchabaka Jaafar Aoufi Marouane Real-time GPS Tracking System for IoT-Enabled Connected Vehicles E3S Web of Conferences real-time gps tracking vanet internet of things cloud computing simulation energy efficiency environmental sustainability |
title | Real-time GPS Tracking System for IoT-Enabled Connected Vehicles |
title_full | Real-time GPS Tracking System for IoT-Enabled Connected Vehicles |
title_fullStr | Real-time GPS Tracking System for IoT-Enabled Connected Vehicles |
title_full_unstemmed | Real-time GPS Tracking System for IoT-Enabled Connected Vehicles |
title_short | Real-time GPS Tracking System for IoT-Enabled Connected Vehicles |
title_sort | real time gps tracking system for iot enabled connected vehicles |
topic | real-time gps tracking vanet internet of things cloud computing simulation energy efficiency environmental sustainability |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/49/e3sconf_icies2023_01095.pdf |
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