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ew 18(17): e5

Research Article

Android based vehicle tracking system

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  • @ARTICLE{10.4108/eai.10-4-2018.154447,
        author={Saima  Safdar and Anwar  Zeb and Ajmal  Khan and Zeeshan Kaleem},
        title={Android based vehicle tracking system},
        journal={EAI Endorsed Transactions on Energy Web and Information Technologies},
        volume={5},
        number={17},
        publisher={EAI},
        journal_a={EW},
        year={2018},
        month={4},
        keywords={Vehicle tracking, GPS, GSM, Arduino, Android.},
        doi={10.4108/eai.10-4-2018.154447}
    }
    
  • Saima Safdar
    Anwar Zeb
    Ajmal Khan
    Zeeshan Kaleem
    Year: 2018
    Android based vehicle tracking system
    EW
    EAI
    DOI: 10.4108/eai.10-4-2018.154447
Saima Safdar1,*, Anwar Zeb1, Ajmal Khan1, Zeeshan Kaleem2
  • 1: Department of Electrical Engineering, COMSATS Institute of Information Technology, Attock-Campus, Panjab, Pakistan
  • 2: Department of Electrical Engineering, COMSATS Institute of Information Technology, Wah-Campus, Panjab, Pakistan
*Contact email: safdar.saima@yahoo.com

Abstract

In this paper, an efficient vehicle tracking system is proposed that is used to track the location of any equipped vehicle with the help of an android application. The SIM808 module is used which incorporates GPS and GSM modules. The GPS module is used to get vehicle’s location coordinates. These coordinates are sent to the Smartphone with the help of a GSM module. On a Smartphone, an android based application is developed to plot the location of a vehicle on a Google map. The application also has the capability to keep the previous route history of the vehicle. The proposed system is implemented and tested in a practical environment. Experimental results have proved that the proposed tracking system is accurate and feasible for the vehicle owners.

Keywords
Vehicle tracking, GPS, GSM, Arduino, Android.
Received
2017-09-03
Accepted
2018-01-05
Published
2018-04-10
Publisher
EAI
http://dx.doi.org/10.4108/eai.10-4-2018.154447

Copyright © 2018 Saima Safdar et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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