Enhancing Vehicle Tracking Systems Using GPS

General Background: Vehicle security and fleet management have become increasingly vital in response to the rising incidents of vehicle theft and transportation inefficiencies. Specific Background: GPS-based tracking systems offer real-time monitoring capabilities, yet many available solutions lack seamless integration with communication modules for efficient user interaction. Knowledge Gap: Despite advancements, limited attention has been given to systems that autonomously authenticate user requests and transmit location data directly to mobile interfaces via GSM and Android applications. Aims: This study proposes a GPS-based vehicle tracking system that integrates GPS receivers, microcontroller processing, and GSM communication for real-time, user-initiated location tracking. Results: The developed system effectively captures GPS coordinates, verifies user identity via incoming calls, and transmits location data through SMS, which is subsequently mapped in an Android app. Novelty: Unlike conventional models, the proposed system disables GSM post-transmission and activates continuous GPS tracking, optimizing power usage and ensuring uninterrupted monitoring. Implications: The integration of GPS and GSM with intelligent control logic provides a cost-effective, user-friendly solution for real-time vehicle tracking, with potential applications in personal vehicle security, fleet logistics, and geofencing enforcement. Highlights: Integrates GPS and GSM for seamless real-time vehicle tracking. Uses caller authentication to initiate secure location sharing. Automatically switches modules to optimize power efficiency. Keywords: GPS, Vehicle Tracking, Real-Time Monitoring, Geofencing

Authors

Institutions

Publication Details

Journal
Academia Open
Published
2025-06-18
DOI
https://doi.org/10.21070/acopen.10.2025.11384
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Vehicle Tracking Systems Using GPS

Zainab Naser Azeez
Academia Open
IoT and GPS-based Vehicle Safety Systems
article

Enhancing Vehicle Tracking Systems Using GPS

Zainab Naser Azeez
article en

Abstract

General Background: Vehicle security and fleet management have become increasingly vital in response to the rising incidents of vehicle theft and transportation inefficiencies. Specific Background: GPS-based tracking systems offer real-time monitoring capabilities, yet many available solutions lack seamless integration with communication modules for efficient user interaction. Knowledge Gap: Despite advancements, limited attention has been given to systems that autonomously authenticate user requests and transmit location data directly to mobile interfaces via GSM and Android applications. Aims: This study proposes a GPS-based vehicle tracking system that integrates GPS receivers, microcontroller processing, and GSM communication for real-time, user-initiated location tracking. Results: The developed system effectively captures GPS coordinates, verifies user identity via incoming calls, and transmits location data through SMS, which is subsequently mapped in an Android app. Novelty: Unlike conventional models, the proposed system disables GSM post-transmission and activates continuous GPS tracking, optimizing power usage and ensuring uninterrupted monitoring. Implications: The integration of GPS and GSM with intelligent control logic provides a cost-effective, user-friendly solution for real-time vehicle tracking, with potential applications in personal vehicle security, fleet logistics, and geofencing enforcement. Highlights: Integrates GPS and GSM for seamless real-time vehicle tracking. Uses caller authentication to initiate secure location sharing. Automatically switches modules to optimize power efficiency. Keywords: GPS, Vehicle Tracking, Real-Time Monitoring, Geofencing

Academia OpenVol. 10(1)
Thi Qar University (IQ)
Openalex Percentile: Top 85%
IoT and GPS-based Vehicle Safety Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Enhancing Vehicle Tracking Systems Using GPS — Zainab Naser Azeez · Academia Open (2025) | TGRS Research Map | TGRS