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IoT Powered Vehicle Tracking System (VTS)

  • Conference paper
  • First Online:
Computational Science and Its Applications – ICCSA 2018 (ICCSA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10963))

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Abstract

With its new avenues, Internet of Things is bringing immense value and potential to the life style of masses. One of the important applications is managing and tracking large fleet which falls under domain of effective transportation and logistics. In this paper a framework has been proposed for real time fleet tracking system. This framework is composed of GPS, GSM and microcontroller technologies. The key features of the system are real-time location tracking, an open-source GIS platform, flexibility and a web-based user interface provided at the base station. A prototype of the proposed system is implemented. Our system prototype is experimentally tested for many trips in Delhi NCR region of North India. The system has been found stable and robust. Targeted fleet has been accurately tracked and its location has been transmitted to the server in real time. Further, with the capabilities of geofencing, functionality of traccar server, its user friendly interface the system is serving the purpose of ubiquitious fleet tracking system providing maximum accessibility for user anytime and anywhere.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, Aryabhatta College, University of Delhi, New Delhi, 110021, India

    Priti Jagwani & Manoj Kumar

  2. School of Information Technology, Indian Institute of Technology, Hauz Khas, New Delhi, 110016, India

    Priti Jagwani

Authors
  1. Priti Jagwani
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  2. Manoj Kumar
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Corresponding author

Correspondence to Priti Jagwani .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka shi, Fukuoka, Japan

    Bernady O. Apduhan

  9. Politecnico di Bari, Bari, Italy

    Eufemia Tarantino

  10. Myongji University, Yongin, Korea (Republic of)

    Yeonseung Ryu

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Jagwani, P., Kumar, M. (2018). IoT Powered Vehicle Tracking System (VTS). In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10963. Springer, Cham. https://doi.org/10.1007/978-3-319-95171-3_38

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  • DOI: https://doi.org/10.1007/978-3-319-95171-3_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95170-6

  • Online ISBN: 978-3-319-95171-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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