Skip to main content
Log in

IoT based framework for the detection of vehicle accident

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

The automotive industry has been emerging with a very fast rate and still, it is growing day by day. Internet of Things (IoT) is one of the reasons behind these changes in the automobile business. The prospects and potential of this innovation are extraordinary. The main enabling factor which provide promising paradigm is the integration of several technologies and communication solution. In this paper, a device is built which can generate an immediate response from the hospital if the vehicle get into the accident and driver is helpless to call the Ambulance. The aim of this work is to build a device which can increase the safety of driver and passenger. IoT technology helps us to achieve this target of building the device successfully. This project will reduce the lead time between accident occurred and information received by hospital about the accident.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

Abbreviations

IOT:

Internet of Things

RFID:

Radio frequency identification

ITS:

Intelligent transportation system

V2V:

Vehicle to vehicle communication

V2I:

Vehicle to infrastructure communication

CAN:

Control area network

MQTT:

Message line telemetry transport

SAAS:

Software as a service

SOA:

Service-oriented architecture

PAAS:

Platform as a service

VANET:

Vehicular ad hoc networks

OBD:

On-board diagnostic

WIFI:

Wireless fidelity

References

  1. Devi, Y.U., Rukmini, M.S.S.: IoT in connected vehicles: challenges and issues—a review. In: 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), pp. 1864–1867. IEEE (2016)

  2. Kirk, R.: Cars of the future: the Internet of Things in the automotive industry. Netw. Secur. 9, 16–18 (2015)

    Article  Google Scholar 

  3. http://www.engineering.com/DesignerEdge/DesignerEdgeArticles/ArticleID/7454/How-the-Internet-of-Things-Will-Shape-the-Future.aspx

  4. Yu, M., Zhang, D., Cheng, Y., Wang, M.: An RFID electronic tag based automatic vehicle identification system for traffic IOT applications. In: Proceedings of the Control and Decision Conference (CCDC), 2011 Chinese, pp. 4192–4197. IEEE (2011)

  5. Kawthankar, S., Raut, C.: A survey on smart automobiles using Internet of Things for digital India. Transportation (2017). https://doi.org/10.3390/electronics8070768

    Article  Google Scholar 

  6. Priyanka, S.: RFID based vehicle access control and tracking with IoT. Int. J. Eng. Tech. 3, 5 (2017)

    Google Scholar 

  7. Qin, E., Long, Y., Zhang, C., Huang, L.: Cloud computing and the internet of things: Technology innovation in automobile service. In: International Conference on Human Interface and the Management of Information, pp. 173–180. Springer, Berlin (2013)

  8. Anand, T.M., Banupriya, K., Deebika, M., Anusiya, A., Anand, T.M., Banupriya, K., Anusiya, A.: Intelligent transportation systems using iot service for vehicular data cloud. Int. J. Innov. Res. Sci. Technol. 2(02), 80–86 (2015)

    Google Scholar 

  9. Nusser, R., Pelz, R.M. Bluetooth-based wireless connectivity in an automotive environment. In: Proceedings of the 52nd Vehicular Technology Conference, 2000. IEEE-VTS Fall VTC 2000. vol. 4, pp. 1935–1942. IEEE (2000)

  10. Viereckl, R., Ahlemann, D., Koster, A., Jursch, S.: Connected car study 2015: racing ahead with autonomous cars and digital innovation. Strategy. http://www.strategyand.pwc.com/reports/connected-car-2015-study. Accessed 7 March 2016

  11. Shutterstock jamesteohart: The internet of cars—IoT technology in the automotive sector. https://www.azosensors.com/article.aspx?ArticleID=703. (2016)

  12. Dhall, R., Solanki, V.: An IoT based predictive connected car maintenance. Int. J. Interact. Multimedia Artif. Intell. 4, 30 (2017)

    Google Scholar 

  13. Macauley, M.: Driverless cars and their relation to the IoT. RFID J. (2016)

  14. Sundmaeker, H., Guillemin, P., Friess, P., Woelfflé, S.: Vision and challenges for realising the Internet of Things. Clust. Eur. Res. Proj. Internet Things Eur. Comm. 3, 34–36 (2010)

    Google Scholar 

  15. Gora, P., Rüb, I.: Traffic models for self-driving connected cars. Transp. Res. Proc. 14, 2207–2216 (2016)

    Article  Google Scholar 

  16. http://www.pentanasolutions.com/index.php/en/blog/view/how-cloud-computing-is-changing-dealerships-across-the-globe

  17. https://vin.dataonesoftware.com/vin_basics_blog/vehicle-infotainment-vs-telematics-systems-what-is-the-difference

  18. Albert, A.: Comparison of event-triggered and time-triggered concepts with regard to distributed control systems. Robert Bosch GmbH Embedded World, Nürnberg (2004)

    Google Scholar 

  19. Van Geem, C., Bellen, M., Bogaerts, B., Beusen, B., Berlmont, B., Denys, T., Hellinckx, P.: Sensors on vehicles (SENSOVO)—proof-of-concept for road surface distress detection with wheel accelerations and ToF camera data collected by a fleet of ordinary vehicles. Transp. Res. Proc. 14, 2966–2975 (2016)

    Article  Google Scholar 

  20. Briante, O., Campolo, C., Iera, A., Molinaro, A., Paratore, S.Y., Ruggeri, G.: Supporting augmented floating car data through smartphone-based crowd-sensing. Veh. Commun. 1(4), 181–196 (2014)

    Google Scholar 

  21. Hamid, A.F.A., Rahman, M.T.A., Khan, S.F., Adom, A.H., Rahim, M.A., Rahim, N.A., Norizan, A.: Connected car: engines diagnostic via Internet of Things (IoT). J. Phys. 908, 012079 (2017)

    Google Scholar 

  22. Chen, S., Xu, H., Liu, D., Hu, B., Wang, H.: A vision of IoT: applications, challenges, and opportunities with china perspective. IEEE Internet Things J. 1(4), 349–359 (2014)

    Article  Google Scholar 

  23. Smolnicki, P.M., Sołtys, J.: Driverless mobility: the impact on metropolitan spatial structures. Proc. Eng. 161, 2184–2190 (2016)

    Article  Google Scholar 

  24. Krasniqi, X., Hajrizi, E.: Use of IoT technology to drive the automotive industry from connected to full autonomous vehicles. IFAC-PapersOnLine 49(29), 269–274 (2016)

    Article  Google Scholar 

  25. Speed, C., Shingleton, D.: An internet of cars: connecting the flow of things to people, artefacts, environments and businesses. In: Proceedings of the 6th ACM workshop on Next generation mobile computing for dynamic personalised travel planning, pp. 11–12. ACM (2012)

  26. Kim, Y., Oh, H., Kang, S.: Proof of concept of home IoT connected vehicles. Sensors 17(6), 1289 (2017)

    Article  Google Scholar 

  27. Huang, K. S., & Tang, S. M. RFID applications strategy and deployment in bike renting system. In: Proceedings of the 10th International Conference on Advanced Communication Technology, 2008. ICACT 2008, vol. 1, pp. 660–663. IEEE (2008)

  28. Liu, T., Yuan, R., Chang, H.: Research on the Internet of Things in the Automotive Industry. In: Proceedings of the 2012 International Conference on Management of e-Commerce and e-Government (ICMeCG), pp. 230–233. IEEE (2012)

  29. Jia, X., Feng, Q., Fan, T., Lei, Q.: RFID technology and its applications in Internet of Things (IoT). In: 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet). pp. 1282–1285. IEEE (2012)

  30. Bandyopadhyay, D., Sen, J.: Internet of Things: applications and challenges in technology and standardization. Wireless Pers. Commun. 58(1), 49–69 (2011)

    Article  Google Scholar 

  31. Jayendra, G., Kumarawadu, S., Meegahapola, L.: RFID-based anti-theft auto security system with an immobilizer. In: Proceedings of the Second International Conference on Industrial and Information Systems, ICIIS 2007, Sri Lanka, 8–11 August 2007

  32. Wu, F.J., Kao, Y.F., Tseng, Y.C.: From wireless sensor networks towards cyber physical systems. Pervasive Mob. Comput. 7(4), 397–413 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. Edwin Sudhagar.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dashora, C., Sudhagar, P.E. & Marietta, J. IoT based framework for the detection of vehicle accident. Cluster Comput 23, 1235–1250 (2020). https://doi.org/10.1007/s10586-019-02989-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-019-02989-z

Keywords

Navigation