SafeWay: An Android Application based Automatic Vehicle Accident Detection and Messaging System

Authors

  • Bakhtawar S Section of Computer Engineering, Department of University Polytechnic, Faculty of Engg. & Tech., Jamia Millia Islamia, New Delhi, India
  • Imam S Section of Computer Engineering, Department of University Polytechnic, Faculty of Engg. & Tech., Jamia Millia Islamia, New Delhi, India
  • Ali S Section of Computer Engineering, Department of University Polytechnic, Faculty of Engg. & Tech., Jamia Millia Islamia, New Delhi, India
  • Sunil S Section of Computer Engineering, Department of University Polytechnic, Faculty of Engg. & Tech., Jamia Millia Islamia, New Delhi, India https://orcid.org/0000-0001-5177-4004

Keywords:

Android Application, Global Positioning System (GPS),, Accident Detection System

Abstract

The research paper outlines the creation of vehicle accident detection and notification system that is based on an Android application. When a vehicle collision occurs, the system uses sensors and mobile technologies to notify the necessary parties, including emergency services, insurance providers, and worried family members. A predestined contact list will get an emergency alert message from the system when it has detected and appraise the relentlessness of a vehicle accident. The technology is proposed to be extremely accurate and effectual at detecting and responding to auto accidents. When a vehicle's velocity suddenly changes, the system employs a mix of accelerometer, gyroscope, and Global Positioning System (GPS) sensors to look for impending accident signs. After determining the accident's relentlessness using an algorithm, the system sends an emergency alert message to a predetermined contact list. The system has undergone testing and been shown to be reliable and successful in identifying vehicle collisions and transmitting emergency signals. The design and development of the system, its possible applications, and the benefits and difficulties of its adoption are all covered in the research paper. The paper also explores the possibility for more study to enhance the system

References

[1] Prabha, Chander & SUNITHA, R. & ANITHA, R. Automatic Vehicle Accident Detection and Messaging System Using GSM and GPS Modem. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. 3. pp.10723-10727, 2014. 10.15662/ijareeie.2014.0307062.

[2] Chen, Patrick & Liu, Yong-Kuei & Hsu, Chia-Shih. An Emergent Traffic Messaging Service Using Wireless Technology. 6122. pp.44-51, 2010. 10.1007/978-3-642-13601-6_6.

[3] Chaudhari, H. Agrawal, S. Poddar, K. Talele and M. Bansode, "Smart Accident Detection And Alert System," IEEE India Council International Subsections Conference (INDISCON), NAGPUR, India, 2021.

[4] N. Kattukkaran, A. George and T. P. M. Haridas, "Intelligent accident detection and alert system for emergency medical assistance," International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, pp.1-6, 2017. doi: 10.1109/ICCCI.2017.8117791.

[5] H. M. Sherif, M. A. Shedid and S. A. Senbel, "Real time traffic accident detection system using wireless sensor network," 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR), Tunis, Tunisia, pp.59-64, 2014. doi: 10.1109/SOCPAR.2014.7007982.

[6] C. Devi and S. Gowri, "An automatic Smart Phone with IoT based Accident detection and alerting System," 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, pp.426-432, 2021. doi: 10.1109/ICECA52323.2021.9676093.

[7] R. Rishi, S. Yede, K. Kunal and N. V. Bansode, "Automatic Messaging System for Vehicle Tracking and Accident Detection," International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, pp.831-834, 2020. doi: 10.1109/ICESC48915.2020.9155836.

[8] G. Rajesh, A. R. Benny, A. Harikrishnan, J. Jacob Abraham and N. P. John, "A Deep Learning based Accident Detection System," 2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, pp.1322-1325, 2020. doi: 10.1109/ICCSP48568.2020.9182224.

[9] Patel, Tirth & Patel, Saurabh. Accident Alert System Using Pressure Sensing Device. 10.13140/RG.2.2.26491.39200. 2022.

[10] Baballe M.A., Yau A, Farouk S., Ibrahim, Muhammad A., Mustapha N. K. Accident Detection System with GPS, GSM, and Buzzer, Journal of Mathematical Techniques and Computational Mathematics, Vol.2, Issue.3, 2023.

[11] Chiddarwar G., Dhivar S., Kulkarni A., Gajbhiye B., Chaudhari N. Accident Alert System Using IoT, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, ISSN : 2456-3307. 2022.

[12] Doshi, Aayush & Shah, Bhavya & Kamdar, Jubin. Accilert -Accident Detection And Alert System. International Journal of All Research Education and Scientific Methods (IJARESM), Vol.9, Issue.11, 2021.

[13] Sumathy, B. & Sundari, L & Priyadharshini S, Janani & Jayavarshini, G. Vehicle Accident Emergency Alert System. IOP Conference Series: Materials Science and Engineering. pp.10-12, 2021. 012042. 10.1088/1757-899X/1012/1/012042.

[14] White, Jules & Thompson, Chris & Turner, Hamilton & Dougherty, Brian & Schmidt, Douglas. WreckWatch: Automatic Traffic Accident Detection and Notification with Smartphones. MONET. 16. pp.285-303, 2011. 10.1007/s11036-011-0304-8.

[15] Singh, Saiyyam & Bhatnagar, Vedant & Gautam, Sarthak & Satwaliya, Deepanshu. Instant Messaging Application Based on Android. International Journal for Research in Applied Science and Engineering Technology. 10. pp.3096-3102, 2022. 10.22214/ijraset.2022.43009.

[16] Archana, Myaka. Automatic Vehicle Accident Detection System. International Journal for Research in Applied Science and Engineering Technology. 9. pp.2975-2979, 2021. 10.22214/ijraset.2021.35670.

[17] Tian, Daxin & Zhang, Chuang & Duan, Xuting & Wang, Xixian. An Automatic Car Accident Detection Method Based on Cooperative Vehicle Infrastructure Systems. IEEE Access. pp.1-1, 2019.

Downloads

Published

2026-01-19

How to Cite

[1]
S. Bakhtawar, S. Imam, S. Ali, and S. Sunil, “SafeWay: An Android Application based Automatic Vehicle Accident Detection and Messaging System”, Int. J. Comp. Sci. Eng., vol. 11, no. 1, pp. 149–154, Jan. 2026.