Skip to main content

Road Accident Detection and Indication System

  • Conference paper
  • First Online:
ICDSMLA 2021

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 947))

Abstract

This main objective of this paper is to develop a detection system using Arduino, GPS, GSM and MEMS when a vehicle met with an accident. Here, MEMS technology detects the sudden change in the axes of vehicle and GSM module will send a message with the location of the accident to nearby hospital and relatives to alert them. GPS module is used to share the location of accident in the form of Google map link, derived from the latitude and longitude form. The alert message received by other side also contains the speed of vehicle in kmph. The proposed idea can also be used to track a vehicle continuously, by just making few changes in both software and hardware. The alert system has been developed in real time and performance is discussed.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 279.99
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. Praba Devi GS, Miraclin Joyce Pamila JC (2019) Accident alert system application using a privacy-preserving blockchain-based incentive mechanism. In: 5th International conference on advanced computing & communication systems (ICACCS), Coimbatore, India, pp 390–394

    Google Scholar 

  2. Mishra B, Singh N, Singh R (2014) Master-slave group based model for co-ordinator selection, an improvement of bully algorithm. In: 2014 International conference on parallel, distributed and grid computing. IEEE, pp 457–460

    Google Scholar 

  3. Rajesh G, Benny AR, Harikrishnan A, Jacob Abraham J, John NP (2020) A deep learning based accident detection system In: International conference on communication and signal processing (ICCSP), Chennai, India, pp 1322–1325

    Google Scholar 

  4. Gunjan VK, Prasad PS, Mukherjee S (2020) Biometric template protection scheme-cancelable biometrics. In: ICCCE 2019. Springer, Singapore, pp 405–411

    Google Scholar 

  5. Dhanya S, Ameenudeen PE, Vasudev A, Benny A, Joy S (2018) Automated accident alert In: International conference on emerging trends and innovations in engineering and technological research (ICETIETR), Ernakulam, pp 1–6

    Google Scholar 

  6. Singh N, Ahuja NJ (2019) Empirical analysis of explicating the tacit knowledge background, challenges and experimental findings. Int J Innov Technol Explor Eng (IJITEE) 8(10):4559–4568

    Article  Google Scholar 

  7. SyedulAmin M, Jalil J, Reaz MBI (2012) Accident detection and reporting system using GPS. In: GPRS and GSM technology international conference on informatics, electronics & vision (ICIEV), Dhaka, pp 640–643

    Google Scholar 

  8. Kodali RK, Sahu S (2017) MQTT based vehicle accident detection and alert system. In: 3rd International conference on applied and theoretical computing and communication technology (iCATccT), Tumkur, pp 186–189

    Google Scholar 

  9. Shaik F, Sharma AK, Ahmed SM, Gunjan VK, Naik C (2016) An improved model for analysis of Diabetic Retinopathy related imagery. Indian J Sci Technol 9:44

    Article  Google Scholar 

  10. Basheer FB, Alias JJ, Favas CM, Navas V, Farhan NK, Raghu CV (2013) Design of accident detection and alert system for motorcycles. In: IEEE global humanitarian technology conference: South Asia Satellite (GHTC-SAS), Trivandrum, pp 85–89

    Google Scholar 

  11. Faiz AB, Imteaj A, Chowdhury M (2015) Smart vehicle accident detection and alarming system using a smart phone. In: International conference on computer and information engineering (ICCIE), Rajshahi, pp 66–69

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Y. Lavanya .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 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

Lavanya, Y., BhagyaSri, P., BhuvanaSri, P., Noha Namratha, K. (2023). Road Accident Detection and Indication System. In: Kumar, A., Senatore, S., Gunjan, V.K. (eds) ICDSMLA 2021. Lecture Notes in Electrical Engineering, vol 947. Springer, Singapore. https://doi.org/10.1007/978-981-19-5936-3_1

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-5936-3_1

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-5935-6

  • Online ISBN: 978-981-19-5936-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics