Vehicle Monitoring and Accident Prevention System Using Internet of Things

  • G. ParthasarathyEmail author
  • Y. Justindhas
  • T. R. Soumya
  • L. Ramanathan
  • A. AnigoMerjora
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 35)


Safety features are at the top of present day requirements in any automobiles. The lives of people driving around in different kinds of automobiles are the most important priority to every manufacturer and customer. Therefore there has been a rise in the automation and accident prevention mechanisms in the present day vehicles. Considerable effort is being put into the automation of vehicles that are in use. The most challenging part lies in the making of safety features available at affordable cost. An internet of things module implemented with the use of several sensors embedded in the system helps in the achievement of this facility. A system proposed in this article has been implemented and has proved effective results. The system consists of various individual models which have been combined r to form a hybrid system. It provides some high end safety features to the vehicle using it. The system allows the complete monitoring of the vehicle and also has a typical role in automation and accident prevention, thereby saving countless lives.


Vehicle monitoring Automation Internet of Things Sensor Arduino Buzzer 


  1. 1.
    Aishwarya, S.R., et al.: An IoT based accident prevention and tracking system for night drivers. Int. J. Innov. Res. Comput. Sci. 3(4), 3493–3499 (2015)Google Scholar
  2. 2.
    Bowen, C.R., Arafa, M.H.: Energy harvesting technologies for tyre pressure monitoring systems. Adv. Energy Mater. 5(7), 1401787 (2015)CrossRefGoogle Scholar
  3. 3.
    Building an intelligent transport system using Internet of Things. content/ dam/www/program/embedded/internet-of-things/blueprints/iot-building-intelligent-transport-systemblue print.pdf
  4. 4.
    Wang, C., Woodard, S.E.: Sensing of multiple unrelated tire parameters using electrically open circuit having no electric connection. IEEE, vol. 2, issue 1 (2010)Google Scholar
  5. 5.
    El Tannoury, C., Moussaoui, S., Plestan, F., Romani, N., Pita-Gil, G.: Synthesis and application of nonlinear observers for the estimation of tire effective radius and rolling resistance of an automotive vehicle. IEEE Trans. Control Syst. Technol. 21(6), 2408–2416 (2013)CrossRefGoogle Scholar
  6. 6.
    Gorenzweig, I., Hild, S., Moenig, S., Van Gastel, P.: Tire monitoring system for determining tire-specific parameters for vehicle, comprises pneumatic tire, tire air pressure sensor and signal generator which is associated with tire wear limit and signal receiver, Patent number: DE102014112306-A, Derwent Accession number: 2016-14002E, application 27 August 2014 (2014)Google Scholar
  7. 7.
    Sakran, H.O.: Intelligent traffic information system based on integration of Internet of Things and agent of technology. Int. J. Adv. Comput. Sci. Appl. 6(2) (2015)Google Scholar
  8. 8.
    Zeng, H., Hubing, T.H.: The effect of the vehicle body on EM propagation in tyre pressure monitoring system. IEEE on Trans. Antennas Propag. 60(8), 3941–3949 (2012)CrossRefGoogle Scholar
  9. 9.
    Kowalski, M.: Monitoring and managing tyre pressure. Institute of Electrical and Electronics Engineers (IEEE) (2004)Google Scholar
  10. 10.
    Lab VIEW. Function and VI reference manual (2000)Google Scholar
  11. 11.
    Chandreshkumar, L., Pranav, J.: Tire pressure monitoring system and fuel leak detection. Int. J. Eng. Res. Appl. 3(4) (2013)Google Scholar
  12. 12.
    National highway traffic safety administration. Proposed new pneumatic tires for light vehicles, FMVSS, No. 139 (2001)Google Scholar
  13. 13.
    Bustamante, P., Del Portillo, J.: Wireless system for temperature measurement in wheel, based on ISM. Institute of Electrical and Electronics Engineers (IEEE) (2006)Google Scholar
  14. 14.
    Shinde, P.A., Mane, Y.B.: Advanced vehicle monitoring and tracking system using raspberry pi. In: IEEE 9th International Conference On Intelligent Systems And Control (2012)Google Scholar
  15. 15.
    Reina, G., Gentile, A., Messina, A.: Tyre pressure monitoring using a dynamical model based estimator. Veh. Syst. Dyn. 53(4), 568–586 (2015)CrossRefGoogle Scholar
  16. 16.
    Sangmyeong, K., et al.: Evaluation and development of improved braking model for a motor assisted vehicle using MATLAB. Journal of Mechanical science and technology 29(7), 2747–2754 (2015)CrossRefGoogle Scholar
  17. 17.
    Rani, D.S., Reddy, K.R.: Raspberry pi based vehicle tracking and security system for real time applications. IJCSMC 5(7), 387–393 (2016)Google Scholar
  18. 18.
    Siddons, A., Derbyshire, A.: Tire pressure measurement using smart low power microsystems. Sensor Review 17(2), 126–130 (1997)CrossRefGoogle Scholar
  19. 19.
    UN-ECE Regulation R64 Temporary Use tyres and tyre pressure monitoring system (2014)Google Scholar
  20. 20.
    Vassev, E., Hinchey, M.: Implementing artificial awareness and knowledge. IEEE (2013)Google Scholar
  21. 21.
    Khan, M.A., Khan, S.F.: IoT based framework foe vehicle over speed detection. IEEE (2018)Google Scholar
  22. 22.
    Hussain, M.Y., George, F.P.: IOT based Real time drosy driving detection system for prevention of Road accidents. IEEE (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • G. Parthasarathy
    • 3
    Email author
  • Y. Justindhas
    • 1
  • T. R. Soumya
    • 1
  • L. Ramanathan
    • 2
  • A. AnigoMerjora
    • 1
  1. 1.Department of CSEJeppiaar Maamallan Engineering CollegeChennaiIndia
  2. 2.School of Computer Science and EngineeringVIT UniversityVelloreIndia
  3. 3.School of C&ITREVA UniversityBengaluruIndia

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