Car Black Box System for Accident Analysis Using IoT

Authors

  • Karthika M  Department of Electrical and Electronics Engineering, New Horizon College of Engineering, Bangalore, Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India.
  • Anitha A  Department of Electrical and Electronics Engineering, New Horizon College of Engineering, Bangalore, Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India.

DOI:

https://doi.org//10.32628/IJSRSET218416

Keywords:

Car black box, GPS sensor, Bluetooth module, ThingSpeak

Abstract

The car black box is used to analyse the cause of accidents like an airplane black box. This paper proposes a model of a car black box system which can be installed in the cars. The aim of this paper is to achieve accident analysis by tracking the working process of vehicles. In addition to this, the car black box system sends an alert message to the user mobile which is connected through Bluetooth module. The black box system also uses GPS sensor to collect the data location. The car black box system mainly helps the insurance companies to do car crash investigations and to record the road status to prevent or decrease death rates. This paper proposes a technique to monitor the vehicle performance and the behaviour of the driver using sensors with the use of IoT technology.

References

  1. G. Hayes, F. Blosser, “Motor Vehicle Crashes Claim More than a Million Lives Worldwide”, CDC Injury Center Media Relations, Press Release, April, 2004 (PDF) Vehicle Black Box System. Available from: https://www.researchgate.net/publication/4334587_Vehicle_Black_Box_System [accessed Jul 06 2021].
  2. Lilia Filipova-Neumann, Peter Welzel, ?Reducing asymmetric information in insurance markets: Cars with black boxes?, Telematics and Informatics, 2010, pp 394-403, DOI: 10.1016/j.tele.2010.03.003.
  3. Thomas K. Kowalick, “Black Boxes: Event Data Recorder Rulemaking for Automobiles”, MICAH, summer 2006.
  4. L. Dae Geun, J. Se Myoung, L. Myoung Seob, “System on Chip design of Embedded Controller for Car Black Box”, Intelligent Vehicles Symposium IEEE 2007, pp. 1174-1177, 13 June 2007.
  5. Daesik Ko and Hwase Park, "A design of the Intelligent Black-Box using Mining Algorithm", InternationalJournal of Smart Home, Vol.6, No.2, April 2012, pp1-4.
  6. C.Jagadeesh Vikram, “An Implementation of Crash Data Automatic Monitoring System (CDAMS) in Automobiles, International Journal of Mechanical Engineering (IJME), ISSN 2319-2240, Vol. 2, Issue 1, Feb 2013, 103-110 © IASET
  7. P.Ajay Kumar Reddy, P.Dileep Kumar et al., “Blackbox for Vehicles” International Journal of Engineering Inventions, and ISSN: 2278-7461, www.ijeijournal.com, Volume 1, Issue 7(October2012) PP: 06-12
  8. Dae Geun Lee, Se Myoung Jung , Myoung Seob Lim, ?System on Chip design of Embedded Controller for Car Black Box?, Intelligent Vehicles Symposium IEEE, Istanbul, 13-15 June 2007, pp 1174-1177, Print ISBN : 1-4244-1067-3, DOI : 10.1109/IVS.2007.4290277.
  9. Liewei Jiang, Chunxuan Yu, ?Design and Implementation of Car Black Box Based on Embedded System?, International Conference on Electrical and Control Engineering, Wuhan, 25-27 June 2010, pp 3537 –3539, Print ISBN: 978-1-4244-6880-5, DOI: 10.1109/iCECE.2010.860.
  10. Chulhwa Hong, Truong Le, Kangsuk Chae, and Souhwan Jung, ?Evidence Collection from Car Black Boxes using Smartphones?, IEEE Consumer Communications and Networking Conference, Las Vegas, NV, pp 836 – 837, Print ISBN: 978-1-4244-8789-9, DOI : 10.1109/CCNC.2011.5766619.

Downloads

Published

2021-08-30

Issue

Section

Research Articles

How to Cite

[1]
Karthika M, Anitha A, " Car Black Box System for Accident Analysis Using IoT, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 4, pp.56-63, July-August-2021. Available at doi : https://doi.org/10.32628/IJSRSET218416