Skip to main content

Vehicle Tracking by Using IoT Applications

  • Conference paper
  • First Online:
Cybernetics, Cognition and Machine Learning Applications

Part of the book series: Algorithms for Intelligent Systems ((AIS))

  • 218 Accesses

Abstract

During modern days, the community that we live in is becoming progressive quickly due to the evolution of advanced technologies. Nearly all the fields are becoming automated and interfaced to the internet. As many people use these technologies growing day by day, need for primary transport functions also increases. These lead to some complexities as traffic increases and accidents and misleading paths. In this paper, what we were trying to do is accurately pin-point where the vehicle is in case of theft or missing in the implementation of real-time vehicle communication. Our module can track vehicles in a short optimum time.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Poushya M, Supritha N, Hema K, Tejaswini R (2018) IoT based vehicle theft detection. IRE J 1(8):52–55 (Electronics and Communication Engineering (ECE), Vasireddy Venkatadari Institute of Technology)

    Google Scholar 

  2. Hall DV (1986) Microprocessors and interfacing: programming and hardware. Comput Sci Series. Gregg division, McGraw-Hill, New York

    Google Scholar 

  3. Nagaraja BG, Rayappa R, Mahesh M, Patil CM, Manjunath TC (2009) Design and development of a GSM based vehicle theft control system. In: 2009 International conference on advanced computer control, pp 148–152. IEEE https://ieeexplore.ieee.org/abstract/document/8745995

  4. Manoharan S (2019) An improved safety algorithm for artificial intelligence enabled processors in self driving cars. J Artif Intel 1(02):95–104

    Google Scholar 

  5. MacDonnell MC (2018) Stolen vehicles for export: a major concern for domestic and international security. Naval Postgraduate School Monterey United States

    Google Scholar 

  6. Singh DN, Tejaswi K (2013) Real time vehicle theft identity and control system based on ARM 9. Int J Latest Trends Eng Technol (IJLTET) 2(1):240–245

    Google Scholar 

  7. Ramani R, Valarmathy S, SuthanthiraVanitha N, Selvaraju S, Thiruppathi M, Thangam R (2013) Vehicle tracking and locking system based on GSM and GPS. Int J Intell Syst Appl 9:86–93

    Google Scholar 

  8. Gaddam DKR, Ansari MD, Vuppala S, Gunjan VK, Sati MM (2022) A performance comparison of optimization algorithms on a generated dataset. In: ICDSMLA 2020, pp 1407–1415. Springer, Singapore

    Google Scholar 

  9. Patel PB (2014) IOT based vehicle theft detection. IJIRMPS-Int J Innov Res Eng Multidiscip Phys Sci 2(3)

    Google Scholar 

  10. Balakrishna S, Solanki VK, Gunjan VK, Thirumaran M (2019) A survey on semantic approaches for IoT data integration in smart cities. In: International conference on intelligent computing and communication technologies, pp 827–835. Springer, Singapore

    Google Scholar 

  11. Ahmed SM, Kovela B, Gunjan VK (2020) IoT based automatic plant watering system through soil moisture sensing—a technique to support. Adv Cybern Cognit Mach Learn Commun Technol 643:259

    Google Scholar 

  12. Gautam P, Ansari MD, Sharma SK (2019) Enhanced security for electronic health care information using obfuscation and RSA algorithm in cloud computing. Int J Inf Secur Priv (IJISP) 13(1):59–69

    Article  Google Scholar 

  13. Li W, Marina AT, Galina N-T, Anna EG, Goncharov VV (2020). Healthcare management: prospects and risks of using blockchain technology. Helix Sci Expl | Peer Rev Bimonthly Int J 10(05):230–235. Retrieved from https://helixscientific.pub/index.php/home/article/view/250

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Sridhar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Revanth, A., Pavan Kumar, R., Jyosthna, R., Sridhar, M., Bitra, S. (2023). Vehicle Tracking by Using IoT Applications. In: Gunjan, V.K., Suganthan, P.N., Haase, J., Kumar, A. (eds) Cybernetics, Cognition and Machine Learning Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1484-3_8

Download citation

Publish with us

Policies and ethics