Skip to main content

Iot-Based Fleet Tracking with Engine Control for Automobiles

  • Conference paper
  • First Online:
Pervasive Computing and Social Networking

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 317))

  • 690 Accesses

Abstract

Transportation system has been a part of the evolution of humans. One cannot imagine life without vehicles. Vehicle security is also a primary concern for all vehicle owners. Owners additionally as researchers are invariably attempting to seek new and upgraded vehicles safety and better performance. To accommodate the vast number of populations, the number of vehicles also has been increased rapidly. This also leads to a number of fraudulent activities such as taking a longer route, taking more than the given number of rides, thefts and so on. Knowing wherever the vehicles are, what the drivers do and observation of each event in real-time key parameters for a well-managed decision-making method. This research proposes a method of Fleet Monitoring to avoid the abuse of these vehicles and make sure that the passengers are safe. Today it's very in style among folks having expensive cars, therefore, this system is a crucial device for following automobiles any time the owner desires to look at it and used as stealing interference and recovery for the taken car. This IoT system mounted in the vehicle is designed to track the vehicle using a NodeMCU that is familiar with sensors and instantly detects any unauthorized entry. It contains a GPS system, which will allow the system to keep track of the vehicle throughout the journey. An ultrasonic sensor is attached to the vehicle to detect any unapproved access. The results of this system were promising in terms of efficiently monitoring the vehicle and preventing thefts.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Similar content being viewed by others

References

  1. Sowah R, Ofoli A, Koumadi K, Osae G, Nortey G, Bempong AM, Agyarkwa B, Apeadu KO (2018) Design and implementation of a fire detection and control system with enhanced security and safety for automobiles using neuro-fuzzy logic. In: Adaptive science & technology (ICAST) 2018 IEEE 7th international conference on, pp 1–8

    Google Scholar 

  2. Ash ME (1972) Earth satellite orbits determination, Tech. Note 1972–5. Lincoln Laboratory, Institute of Technology, Lexington, pp 258

    Google Scholar 

  3. Lindqwister UJ, Lichten SM, Blewitt G (1990) Precise regional baseline calculation using orbital knowledge a priori. Geophys Lett Sci 17:219–222

    Article  Google Scholar 

  4. Blewitt G (1989) Carrier phase uncertainty resolution for the global positioning system applied to geodetic baselines up to 2000 km. J Geophys Sci 94:1187–1203

    Google Scholar 

  5. Colombo OL (1986) GPS Satellites Ephemeris Defects. Bulletin Geodesique 60:6484

    Article  Google Scholar 

  6. Dong D-N, Bock Y (1989) GPS network study in California, with phase uncertainty resolution extended to crustal deformation studies. J Geophys Sci 94:3949–3966

    Article  Google Scholar 

  7. Bock Y, Gourevitch SA, King RW, Counselman CC III, King RW, Abbot I (1986) GPS phase observation interferometric study. Manuscr Geodaet 11:282–288

    Google Scholar 

  8. Blewitt G (1990) An automated editing algorithm for GPS data. Geophys Res Lett 17(3):199–202

    Article  Google Scholar 

  9. SM, W, Bertiger LJ (1989) Demonstration of the sub-meter and 1.5 component GPS orbit determination at 108 three-dimensional baseline accuracy. Geodesique Bull 63:167–189

    Google Scholar 

  10. Bender PL, Ah, Larden DR (1985) Over long baselines, GPS carrier phase ambiguity resolution. In: Goad CC (ed), Proceedings of the first international symposium, vol 1. National Geodetic Survey, Rockville, Maryland, pp 357–361. on Precise Positioning with the Global Positioning System

    Google Scholar 

  11. Anand S, Johnson A, Mathikshara P, Karthik (2019) Low power real time GPS tracking enabled with RTOS and serverless architecture. In: Computer and communication systems (ICCCS) 2019 IEEE 4th international conference on, pp 618–623

    Google Scholar 

  12. Palchaudhuri A, Manimegalai CT (2018) Smart electric motorcycle security system based on GSM and ZigBee communication. In: Communication and signal processing (ICCSP) 2018 international conference on, pp 0204–0208

    Google Scholar 

  13. Mueller GII, Beutler, Neilan RE (1994a) International geodynamics GPS program: establishment and official service commencement on 1 January 1994. Bull Geodesique 68:3970

    Google Scholar 

  14. Beutler G, Brockmann E, Gurtner W, Mervart L, Hugentobler U, Rothacher M (1994b) Expanded techniques of orbit modeling at the international GPS Service for geodynamics (IGS) CODE Processing Center: theory and initial findings. Manuscripta Geodaetica, 19:367386

    Google Scholar 

  15. McCarthy DD (1992) IERS Standards (1992), IERS Technical Note 13, Observatoire de Paris

    Google Scholar 

  16. Herring TA, Dong D-N, King RW (1991) GPS measurements Sub Milliarcsecond pole position determination. Geophys Res Lett 18:1893–1896

    Article  Google Scholar 

  17. Version 4.1 internal memorandum, Massachusetts Institute of Technology, Cambridge, 1998. Herring, T. A., GLOBK: Global Kalman filter VLBI and GPS research software

    Google Scholar 

  18. King RW, Collins J, Masters EM, Rizos C, Stolz A (1987) GPS surveying, Monograph No. 9, University of New South Wales, Sydney, School of Surveying, 1985; reprinted by Ferd. Bonn-based Dummlers Verlag

    Google Scholar 

  19. Herring TA, Davis JL, Shapiro II (1990) Radio interferometry geodesy. Kalman Filter Appl VLBI Data Proc, Geophys Res J 95(B8):12561–12581

    Google Scholar 

  20. Murray MH (1991) Central California global positioning system measurement of crustal deformation, Ph. D. Thesis from the Institute of Technology of Massachusetts, pp 223

    Google Scholar 

  21. Feigl KL (1991) Central california geodetic measurement of tectonic deformation, Ph. D. Thesis from the Institute of Technology of Massachusetts, pp 223

    Google Scholar 

  22. Feigl KL, Agnew DC, Bock Y, Dong DN, Donnellan A, Hager BH, Herring TA, Jackson DD, King RW, Larsen SK, Larson KM, Murray MH, Shen ZK (1993) Velocity Field Measurement, Central and Southern California. Geophys Res J 98:21667–21712

    Google Scholar 

  23. Schaffrin B, Bock Y (1988) A single framework to process observations of the GPS phase. Bull Geodesique 62:142160

    Article  Google Scholar 

  24. Shimada S, Bock Y (1992) GPS fixed point network determined by crustal deformation measurements in central Japan. J Geophys Sci 97:1143712455

    Google Scholar 

  25. Lichten SM (1989) GPS orbit determination, success and prospects with high precision of Geodesy, International Assoc. General Assembly, 3–12 Aug 1989

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to R. Nethra .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 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

Suganya, R., Nethra, R., Guganya, K.P., Nila, B. (2022). Iot-Based Fleet Tracking with Engine Control for Automobiles. In: Ranganathan, G., Bestak, R., Palanisamy, R., Rocha, Á. (eds) Pervasive Computing and Social Networking. Lecture Notes in Networks and Systems, vol 317. Springer, Singapore. https://doi.org/10.1007/978-981-16-5640-8_23

Download citation

Publish with us

Policies and ethics