Implementation of vehicle collision monitor system using IoT

Year : 2024 | Volume : | : | Page : –
By

Rekha Murthy,

Brijesh R,

Dilip C,

Abhishek S K,

  1. Assistant Professor Department of CSE (AI & ML), Sai Vidya Institute of Technology, Karnataka India
  2. Student Department of EEE , Sai Vidya Institute of Technology, India Karnataka India
  3. Student Department of EEE , Sai Vidya Institute of Technology, India Karnataka India
  4. Student Department of EEE , Sai Vidya Institute of Technology, India Karanataka India

Abstract

The loss of life in traffic accidents causes terrible problems that have an adverse effect on the socioeconomic advancement of societies. Most developing nations are reporting greater rates of fatalities whenever a crisis arises due to a lack of an efficient mechanism for promptly notifying the emergency services of accidents so that they can begin rescue efforts right away. In addition, the likelihood of survival for every accident victim mostly depends on how fast emergency medical services can reach the closest hospital to treat the victims after they arrive on the site. On occasion, though, excessive traffic causes these rescue vehicles to be delayed on their way to the accident scene. This system delivers address information to intended security, medical, and other recipients while using an accelerometer to correct the vehicle’s tilting and crashing.

Keywords: Arduino Nano, Global Positioning System, GSM, accident, emergency service provider

How to cite this article: Rekha Murthy, Brijesh R, Dilip C, Abhishek S K. Implementation of vehicle collision monitor system using IoT. Journal of Automobile Engineering and Applications. 2024; ():-.
How to cite this URL: Rekha Murthy, Brijesh R, Dilip C, Abhishek S K. Implementation of vehicle collision monitor system using IoT. Journal of Automobile Engineering and Applications. 2024; ():-. Available from: https://journals.stmjournals.com/joaea/article=2024/view=156667



References

1. Vivek Kinage MIT ADT University Information Technology Pune, Maharashtra, India , Piyush Patil Pune University Computer Science Pune, Maharashtra, India , IoT Based Intelligent System For Vehicle Accident Prevention And Detection At Real Time, IEEE 2019 Third International conference on I-SMAC (IoT in Social, Mobile ,Analytics and Cloud) (I-SMAC),https://doi.org/10.1109/I-SMAC47947.2019.9032662
2. Nazir Ahmmed, Nusrat Jahan Jenny, Most Fowziya Akther Houya, Anika Ibnat Binte Alam, Md. Adnan Arefeen, Dept. of CSE United International University Dhaka, Bangladesh , VADet: An Arduino based automated vehicle accident detection and messaging system, IEEE 2019 1st International Conference on Advances in Science,
Engineering and Robotics Technology (ICASERT),https://doi.org/10.1109/ICASERT.2019.8934649
3. Md Habib Ullah Khan, Md Mamun Howlader, Department of ECE, North South University, Dhaka, Bangladesh. Design of an Intelligent Autonomous Accident prevention, Detection and Vehicle Monitoring System (2019 ).IEEE 2019 IEEE International Conference on Robotics, Automation,Artificial- intelligence and Internet-of-Things (RAAICON), https://doi.org/10.1109/RAAICON48939.2019.6263505
4. Asad Ali and Mohammad Eid, Applied Interactive Multimedia (AIM) Laboratory, Division of Engineering, New York University, Abu Dubai, United Arab Emirates,An Automated System for Accident Detection (2015), 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings,
https://doi.org/10.1109/I2MTC.2015.7151519
5. Bujang, S. H., Suhaimi, H., & Abas, P. E. (2020, December). Performance of low cost Global Positioning System (GPS) module in location tracking device. In IOP Conference Series: Materials Science and Engineering (Vol. 991, No. 1, p.
012137). IOP Publishing.
6. del Rio, T. L., Gracia, G. J., & Moreno, L. N. O. (2016). Electronic system to monitor the truck route in the Mexico City. In 2do Congreso Internacional de.
7. Giudici, A., Torsvik, T., & Soomere, T. (2017). Development of a Flexible, Extendable, and Low- Cost Control Unit for Surface Drifters. Journal of Atmospheric and Oceanic Technology, 34(3), 669-677.

8. Giammarini, M., Isidori, D., Pieralisi, M., Cristalli, C., Fioravanti, M., & Concettoni, E. (2016). Design of a low cost and high performance wireless sensor network for structural health monitoring. Microsystem Technologies, 22(7), 1845-1853.
9. Jose, C., Dhivvya, J. P., & Das, D. K. (2019, October). Autonomous Navigation and Collision Avoidance Surface Watercraft for Flood Relief Operations. In 2019 IEEE Global Humanitarian Technology Conference (GHTC) (pp. 1-8). IEEE.


Ahead of Print Subscription Review Article
Volume
Received May 6, 2024
Accepted May 24, 2024
Published July 17, 2024