IoT-Driven Vehicle Tracking: Approach for Real-Time Navigation Management

Vehicle tracking requirement is one of major components in the development of the smart transportation systems since safety, logistics efficiency is demanded higher and demand for intelligent mobility will be the solution. This paper is focused on the design and implementation of a smart vehicle tracking system, that used both GPS and GSM modules with the help of ESP32 Microcontroller. It can capture GPS location, send data to GSM communication channels through the ESP32 for remote server or user device monitoring. In tackling the prevalent difficulties such as assured data transmission quality, reliable network connectivity in low signal areas, and improving the energy performance, this work will offer a robust and scalable solution. The task system illustrates the potential ESP32 has as a low cost, energy effective and broad platform for contemporary IOT usecases especially when it comes to Vehicle Tracking reliability and experience. The vehicle location in the form of longitude and latitude can be viewed on cloud, where a proper fleet management system can be handled.

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Publication Details

Published
2025-04-04
DOI
https://doi.org/10.1109/iccsai64074.2025.11063734
Citations
6
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
6.04
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article

IoT-Driven Vehicle Tracking: Approach for Real-Time Navigation Management

Raghav Goel, A. Anitha, Gaurav Sharma, Bharti Sharma et al.
6 citations
Traffic Prediction and Management Techniques
6.04
article

IoT-Driven Vehicle Tracking: Approach for Real-Time Navigation Management

Raghav Goel, A. Anitha, Gaurav Sharma, Bharti Sharma, Meghna Varma, Manish Kumar Singla
article en
6 citations

Abstract

Vehicle tracking requirement is one of major components in the development of the smart transportation systems since safety, logistics efficiency is demanded higher and demand for intelligent mobility will be the solution. This paper is focused on the design and implementation of a smart vehicle tracking system, that used both GPS and GSM modules with the help of ESP32 Microcontroller. It can capture GPS location, send data to GSM communication channels through the ESP32 for remote server or user device monitoring. In tackling the prevalent difficulties such as assured data transmission quality, reliable network connectivity in low signal areas, and improving the energy performance, this work will offer a robust and scalable solution. The task system illustrates the potential ESP32 has as a low cost, energy effective and broad platform for contemporary IOT usecases especially when it comes to Vehicle Tracking reliability and experience. The vehicle location in the form of longitude and latitude can be viewed on cloud, where a proper fleet management system can be handled.

Applied Science Private University (JO), G Pulla Reddy Dental College & Hospital (IN), Chitkara University (IN), Saveetha University (IN)
Affordable and clean energy
Openalex Percentile: Top 4%
Traffic Prediction and Management Techniques
6.04
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IoT-Driven Vehicle Tracking: Approach for Real-Time Navigation Management — Raghav Goel, A. Anitha, et al. · (2025) | TGRS Research Map | TGRS