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Smart Accident Vehicle Emergency System (Project SAVE)


Authors : Jaden Pereira; Moaiz Suzain; Joshua Abraham George; Namrata Satish Lanjewar

Volume/Issue : Volume 11 - 2026, Issue 4 - April


Google Scholar : https://tinyurl.com/yc8s2m2a

Scribd : https://tinyurl.com/5967zwe6

DOI : https://doi.org/10.38124/ijisrt/26apr573

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Road accidents and personal emergencies claim thousands of lives annually, largely due to delayed response and the inability to relay location-specific distress information. Existing automated accident detection systems, while technically sophisticated, are prone to false positives under normal vehicular conditions, undermining their real-world reliability. This paper presents Project SAVE (Smart Accident and Vehicular Emergency), a manual-trigger-based emergency alert system built on an Arduino Uno microcontroller, a SIM900A GSM module, and a NEO-6M GPS module. Upon deliberate activation via a push button, the system acquires real-time GPS coordinates and transmits an SMS containing a Google Maps hyperlink to predefined emergency contacts. This design prioritizes user agency, cost-effectiveness, and network independence over full automation. The system was evaluated for GPS fix acquisition time, SMS delivery reliability, and component cost, demonstrating consistent performance under open-sky conditions at a total hardware cost below ₹2,500. A comparative analysis against sensor-based and smartphone application-based systems is presented, along with the system architecture, component specifications, methodology, limitations, and future scope.

Keywords : Arduino Uno; SIM900A GSM; NEO-6M GPS; Emergency Alert; SMS Notification; IoT; Embedded Systems; Accident Detection; Location Tracking; Personal Safety.

References :

  1. World Health Organization. (2023). Road Traffic Injuries. WHO Fact Sheet. Geneva: WHO. Available: https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries
  2. Lerner, E. B., & Moscati, R. M. (2001). The Golden Hour: Scientific Fact or Medical Urban Legend? Academic Emergency Medicine, 8(7), 758–760.
  3. International Telecommunication Union (ITU). (2023). Measuring Digital Development: Facts and Figures 2023. Geneva: ITU Publications.
  4. Mukherjee, S., Biswas, S., & Roy, S. (2017). A Survey on False Alarm Reduction Techniques in Automated Accident Detection Systems. IJARCCE, 6(3), 112–118.
  5. Ravi, T., Kumar, K. R., & Priya, M. (2018). Vehicle Accident Alert and Tracking System using ARM Cortex and MEMS Sensor. IJERT, 7(4), 45–49.
  6. Kaur, H., & Sharma, P. (2019). Smart Vehicle Accident Detection and Alert System using GSM, GPS, and Vibration Sensor. IJITEE, 8(9), 1543–1547.
  7. Amin, S., Farooq, M., & Shahid, H. (2020). Airbag-Triggered Accident Detection System with GPS-Based Location Sharing via GSM. IEEE CICT, Ghaziabad, India, 1–6.
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  10. Sathya, M., Saravanan, K., & Kannan, A. (2020). Wearable-Smartphone Hybrid Emergency Alert System. IEEE Access, 8, 112034–112044.
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  13. Nagaraja, C. S., Naveen, A., & Pavan, K. (2019). Women Safety System using Arduino, GPS and GSM. IJEAST, 4(2), 174–178.
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  15. SIMCom Wireless Solutions. (2015). SIM900A Hardware Design Manual v2.00. Shanghai: SIMCom Wireless Solutions Ltd.
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  17. National Informatics Centre, Government of India. (2023). Emergency Response Support System – Dial 112. Ministry of Home Affairs, New Delhi.
  18. Atmel Corporation. (2015). ATmega328P 8-bit AVR Microcontroller Datasheet. Document No. 8161D–AVR–06/12.
  19. Banzi, M., & Shiloh, M. (2022). Getting Started with Arduino (4th ed.). Sebastopol, CA: Maker Media, Inc.
  20. Kaplan, E. D., & Hegarty, C. (Eds.). (2017). Understanding GPS/GNSS: Principles and Applications (3rd ed.). Boston, MA: Artech House.

Road accidents and personal emergencies claim thousands of lives annually, largely due to delayed response and the inability to relay location-specific distress information. Existing automated accident detection systems, while technically sophisticated, are prone to false positives under normal vehicular conditions, undermining their real-world reliability. This paper presents Project SAVE (Smart Accident and Vehicular Emergency), a manual-trigger-based emergency alert system built on an Arduino Uno microcontroller, a SIM900A GSM module, and a NEO-6M GPS module. Upon deliberate activation via a push button, the system acquires real-time GPS coordinates and transmits an SMS containing a Google Maps hyperlink to predefined emergency contacts. This design prioritizes user agency, cost-effectiveness, and network independence over full automation. The system was evaluated for GPS fix acquisition time, SMS delivery reliability, and component cost, demonstrating consistent performance under open-sky conditions at a total hardware cost below ₹2,500. A comparative analysis against sensor-based and smartphone application-based systems is presented, along with the system architecture, component specifications, methodology, limitations, and future scope.

Keywords : Arduino Uno; SIM900A GSM; NEO-6M GPS; Emergency Alert; SMS Notification; IoT; Embedded Systems; Accident Detection; Location Tracking; Personal Safety.

Paper Submission Last Date
30 - April - 2026

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