IoT-Driven Accident Alert and Rescue Management System for Smart Mobility

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 16 | 01 | Page :
    By

    Anubrata Mondal,

  • Soumyadip Maity,

  • Surajit Das,

  • Surya Sekhar Maity,

  • Yubaraj Majhi,

  1. HOD & Assistant Professor, Department of Electrical Engineering, Greater Kolkata College of Engineering and Management, West Bengal, India
  2. Student, Department of Electrical Engineering, Greater Kolkata College of Engineering and Management, West Bengal, India
  3. Student, Department of Electrical Engineering, Greater Kolkata College of Engineering and Management, West Bengal, India
  4. Student, Department of Electrical Engineering, Greater Kolkata College of Engineering and Management, West Bengal, India
  5. Student, Department of Electrical Engineering, Greater Kolkata College of Engineering and Management, West Bengal, India

Abstract

An IoT-enabled Vehicle Accident Detection and Rescue System is a modern approach aimed at improving road safety by identifying collisions as they occur and facilitating quick emergency assistance. Traffic accidents remain a major cause of death across the globe, and the lack of timely medical help frequently intensifies the severity of injuries. This system leverages the power of the Internet of Things (IoT) to monitor a vehicle’s dynamics and detect accidents as they occur. It utilizes sensors such as accelerometers and gyroscopes to identify sudden changes in velocity or orientation that indicate a collision. A microcontroller, such as an Arduino or Raspberry Pi, processes the sensor data to determine whether an accident has occurred. Once an accident is detected, the system immediately turns on the GPS module to determine the vehicle’s exact location and uses the GSM module to send an emergency text message to preset contacts or nearby rescue teams. This alert includes critical information such as the accident time and precise location coordinates, allowing for immediate action. Additionally, the system can be integrated with IoT cloud platforms for real-time data logging and remote monitoring, which can be useful for traffic authorities or insurance companies. To avoid false alarms, the system can be programmed to allow manual cancellation of alerts by the driver within a short window. With optional enhancements like live camera feeds, mobile app integration, and machine learning-based accident verification, the system can become even more robust and intelligent. Overall, the IoT-based accident detection and rescue system provides a cost-effective, scalable, and life-saving solution that addresses one of the most critical challenges in modern transportation, offering timely assistance and reducing the loss of life due to delayed emergency response.

Keywords: Microcontroller, Internet of Things (IOT), Global Positioning System (GPS), Global System for Mobile Communications (GSM), Vehicle.

How to cite this article:
Anubrata Mondal, Soumyadip Maity, Surajit Das, Surya Sekhar Maity, Yubaraj Majhi. IoT-Driven Accident Alert and Rescue Management System for Smart Mobility. Journal of Communication Engineering & Systems. 2026; 16(01):-.
How to cite this URL:
Anubrata Mondal, Soumyadip Maity, Surajit Das, Surya Sekhar Maity, Yubaraj Majhi. IoT-Driven Accident Alert and Rescue Management System for Smart Mobility. Journal of Communication Engineering & Systems. 2026; 16(01):-. Available from: https://journals.stmjournals.com/joces/article=2026/view=241965


References

  1. Singh H, Tiwari K, Pandey P, Maheshwari R. IOT Based Automatic Vehicle Accident Detection and Rescue System. International Research Journal of Engineering and Technology (IRJET). 2020;7(4):5.
  2. Dashora C, Sudhagar PE, Marietta J. IoT based framework for the detection of vehicle accident. Cluster Computing. 2020 Jun;23(2):1235-50.
  3. Ghahremannezhad H, Shi H, Liu C. Real-time accident detection in traffic surveillance using deep learning. In2022 IEEE international conference on imaging systems and techniques (IST) 2022 Jun 21 (pp. 1-6). IEEE.
  4. Ke R, Cui Z, Chen Y, Zhu M, Yang H, Wang Y. Edge computing for real-time near-crash detection for smart transportation applications. arXiv preprint arXiv:2008.00549. 2020 Aug 2.
  5. Krishnamoorthy GD, Balasubramanian K, Chinnusamy S. Design of an IoT-based autonomous vehicle accident detection and rescue system. InCONFERENCE PROCEEDINGS ON 3RD INTERNATIONAL CONFERENCE ON ENGINEERING FACILITIES MAINTENANCE AND MANAGEMENT TECHNOLOGIES (EFM2T’21) 2023 Jun 2 (Vol. 2581, No. 1, p. 030005). AIP Publishing LLC.
  6. Balfaqih M, Alharbi SA, Alzain M, Alqurashi F, Almilad S. An accident detection and classification system using internet of things and machine learning towards smart city. Sustainability. 2021 Dec 26;14(1):210.
  7. Pathik N, Gupta RK, Sahu Y, Sharma A, Masud M, Baz M. AI enabled accident detection and alert system using IoT and deep learning for smart cities. Sustainability. 2022 Jun 24;14(13):7701.
  8. Niranjan Kumar K, Rama Narasimha Dattu CH, Vishnu S, Jino Ramson SR. Automatic accident rescue system using iot. InInternational Conference on Computer Networks and Communication Technologies: ICCNCT 2018 2018 Sep 18 (pp. 575-582). Singapore: Springer Singapore.
  9. Sahraei MA, Al Mamari SR. A Review of Internet of Things Approaches for Vehicle Accident Detection and Emergency Notification. Sustainability. 2025 Jul 16;17(14):6510.
  10. Moriarty J, Torrans M, Sharkey EL, Swan PR, Derby J, Fitzgerald E, Maxwell JE, McGauley O, Bhatikar A, Heyman-Dewitte N, inventors; Accenture Global Solutions Ltd, assignee. Intelligent accident detection system. United States patent US 10,869,180. 2020 Dec 15.
  11. Talukder S, Ira SK, Khanom A, Sneha PB, Saleh W. Vehicle collision detection & prevention using vanet based IoT WITH V2V. arXiv preprint arXiv:2205.07815. 2022 May 16.
  12. Vijay R, Madhuranthagi T, Devi AD, Kanimozhi SA. IoT based smart vehicle with over-speed accident detection and rescue system. International Journal of Advanced Science and Technology. 2020 Jul;29(9):3297-304.
Ahead of Print Subscription Review Article
Volume 16
01
Received 14/10/2025
Accepted 10/12/2025
Published 14/04/2026
Publication Time 182 Days
23

Login


My IP

PlumX Metrics