Advertisement

Auto Emergent System (AES)

  • S. SureshkumarEmail author
  • M. Saad Ahamed
  • P. Sanjay
  • R. Saravanan
Conference paper
  • 214 Downloads
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 44)

Abstract

Nowadays, due to the exploding growth of vehicles which paves a way for the unusual population in the road traffic, accidents are becoming more and more common among people. There are various factors which causes accidents. This paper lists out the classification of accidents and various solutions provided to avoid accidents as well as to overcome from accidents when it is encountered. Classification of accidents includes accidents by pedestrians, cyclists, mass casualty and animal accidents. The various solutions to avoid as well as to overcome accidents include usage of smart phones, VANET and GSM along with GPS. The proposed solution detects the accident and sends ambulance to the accident area by the usage of sensors. In this paper a derived factor named Crash rate analysis is used to determine the number of ambulances required for the accident area to take up the recovery process. This work is intended to provide better and faster lifesaving solutions for the road accidents.

Keywords

Road accidents Crash rate GPS GSM VANET Firebase PIR sensor Airbag sensor 

Notes

Acknowledgment

The authors would like to thank the Management, Director, Principal and Head of the Department of Computer Science and Engineering of Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India for their motivation and the support rendered to carry out this work.

References

  1. 1.
    Malik, Y.S.: Road accidents in India—2016. In: Ministry of Road Transport and Highways, Government of India, New Delhi (August 2017)Google Scholar
  2. 2.
    Zia, Y., Sabir, M., Saeed, I.U., et al.: Pedestrian injuries and fatalities by patterns in reported road traffic crashes–Islamabad. J. Pak. Med. Assoc. 64(10), 1162–1165 (2014)Google Scholar
  3. 3.
    Department for Transport: Facts on pedal cyclists. Last accessed on 1 May 2017. https://www.gov.uk/government/uploads/system/uploads/attachment data/file/447674/pedal-cyclists-2013-data.pdfGoogle Scholar
  4. 4.
    Khalil, U., Javid, T.: Automatic road accident detection techniques: a brief survey published on IEEE 2017Google Scholar
  5. 5.
    Delvalle Institute Office of Public Health Preparedness: What is mass casualty incident? Last accessed 1 May 2017Google Scholar
  6. 6.
    White, J., Thompson, C., Turner, H., Dougherty, B., Schmidt, D.C.: Wreck watch: automatic traffic accident detection and notification with smartphones. Mob. Netw. Appl. 16(3), 285 (2011)CrossRefGoogle Scholar
  7. 7.
    Praveena, V., Sankar, A.R., Jeyabalaji, S., Srivatsan, V.: Efficient accident detection and rescue system using ABEONA algorithm. Int. J. Emerg. Trends Technol. Comput. Sci. 3(5) (2014)Google Scholar
  8. 8.
    Iyyappan, S., Nandagopal, V.: Automatic accident detection and ambulance rescue with intelligent traffic light system, published on arjeeie 2017Google Scholar
  9. 9.
    Sri Krishna Chaitanya Varma, Poornesh, Tarun Varma, Harsha. Automatic vehicle accident detection and messaging system using GPS and GSM modems. Int. J. Sci. Eng. Res. 4(8) (2013)Google Scholar
  10. 10.
    IEEE Journal based on Internet of things: a brief study “published in 2018”. http://iot.ieee.org/journal
  11. 11.
    Beshah, T., Ejig, D.: Learning the classification of traffic accident types. In: Published on 2012 Fourth International Conference on Intelligent Networking and Collaborative SystemsGoogle Scholar
  12. 12.
    Bangar, V., Chaskar, N., Kurhade, S., Borhade, B.M.: Smart ambulance rescue system with patient monitoring. Imp. J. Interdiscip. Res. (IJIR) 3(12) (2017)Google Scholar
  13. 13.
    Fremantle, P., Kopp, O., Leymann, F., Reinfurt, L.: A detailed analysis of IoT platform, architectures: concepts, similarities, and differences. Inst. Arch. Appl. Syst. (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • S. Sureshkumar
    • 1
    Email author
  • M. Saad Ahamed
    • 1
  • P. Sanjay
    • 1
  • R. Saravanan
    • 1
  1. 1.Department of Computer Science and EngineeringSri Ramakrishna Engineering CollegeCoimbatoreIndia

Personalised recommendations