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Stream/Area:
-
Subject:
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Paper ID:
10.55041/IJSREM.RACCES022
Volume:
10 |
4 |
April 2026
Pages:
1--
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Computer Science & Engineering
Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India
Computer Science & Engineering
Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India
Computer Science & Engineering
Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India
Computer Science & Engineering
Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India
Computer Science & Engineering
Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India
Road Accidents are one of the leading causes of injuries and fatalities worldwide. A Major factor contributingtothelossoflifeduringaccidentsisthedelayin receiving timely medical and police assistance. In many cases, victims are unable to report the accident due to unconsciousness or severe injuries.Immediate emergency response is crucial in reducing fatsalities and improving survival rates. The Automatic Crash Notification System (ACNs) is a hardware-based solution designed to detect vehicleaccidentsautomaticallyandnotifyemergencysystem services without human intervention. The system uses sensors such as an accelerometer and vibration sensors to detect sudden impact or abnormal vehicle movements.Process is automatic sever system were the generallyairbagtheresourcesoftheapproachesoftheuses of System approaches potential basic system where public safety of the resource was the unknown strategy of the collisionof thecommunicationof the accidentof prevention of the airbag strategy of the number of asRoad traffic accident is a leading cause of fatalities, often execrated by delayed emergency response time, particular in remote areas.This projectproposes the IoT-Based automatic crash notification system used approaches of the microcontroller devicesofthecriticalappisusedswitchtheoverridedetailed genuineoffreealarmsofthereducedtherateofthepotential solution to reduce real time approaches of the rates of the demons taredvalueofthecloudintegratedratesofmortality.
KEYWORDS
The Automatic Crash Notification System successfully demonstratesapracticalsolutionforimprovingroadsafetyand reducing emergency response time. The system can detect vehiclecrashesinreal-timeusingsensors,accuratelydetermine the location via GPS, and immediately notify emergency contactsthroughGSMcommunication.Testingconfirmedthat the system responds quickly to simulated accident scenarios and reliably transmits the required information. This eliminates delays caused by human inability to call for help, making it especially useful in severe accidents. While minorfalsealertsmayoccurduetostrongvibrationsunrelated to crashes, thesystem’s performance proves its potential asan effective safety tool. With further enhancements—such as advanced sensor fusion, integration with mobile applications, and cloud-based monitoring—the system can be widely implementedinvehiclestosavelivesandimproveroadsafety standards. If you like, I can also draft highlighting real- world improvements and applications for your project—it will make your report look more professional. Do you want me to do that? Get smarter responses, upload files and images, and more then space. By leveraging real-time data from sensors and GPS technology, the system reduces response times, potentially saving lives and minimizing the severity of injuries . Moreover, its integration with modern communication networksensuresthatcriticalinformationistransmitted efficiently, supporting quicker decision-making in emergencies.Asvehicle technologycontinuestoevolve, implementing ACN systems represents a proactive step towardsmarter,safertransportationanddemonstratesthe potential of technology to mitigate the human and economic costs of road accidents. While challenges such as false alarms, network limitations, and data privacy remain, ongoing advancements in AI, telematics, and secure communicationarelikelytoaddresstheseissues.Overall, implementingACNsystemsnotonlyprotectsdriversand passengers but also contributes to broader societal benefits, including reduced medical costs, faster emergencycare,andimprovedpublicsafety.Asadoption grows, ACN technology will continue to play a crucial role in creating smarter, safer roads worldwide.
1. V. Ramya and B. Palaniappan, “Embedded System for Vehicle Accident Prevention and Detection,” International Journal of Engineering Trends and Technology, 2012. 2. KajalNandaniya,VirajChoksi,AshishPatel,M. B. Potdar, “Automatic Accident Alert and Safety System using Embedded GSM Interface,” International Journal of Computer Applications, 2014. 3. L. Vincent Antony Raj, “Automatic Vehicle Accident Detection & Localization of Automobile using GPS/GSM,” International Journal of Engineering Research & Technology (IJERT), 2015. 4. R. Suganya and T. Vignesh, “Accident Detection and Ambulance Rescue System using GPS and GSM,” International Journal of Computer Applications, 2016. 5. S. Chandran, S. Chandrasekar and E. Elizabeth, “Konnect: Automatic Accident Detection and Intimation System,” IEEE International Conference on Intelligent Computing and Control Systems, 2017. 6. Srushti Ambedkar, Monty Ghosh, Puneet Jain, “Intelligent Accident Identification System using GSM and GPS Modem,” IJERT Conference Proceedings, 2017. 7. P. Sharma and A. Deshmukh, “Design and Implementation of Automatic Accident Detection and Alert System using GPS & GSM,” International Journal of Computer Applications, 2018. 8. Shaomei Wang, “Automatic Vehicle Accident Detection and Messaging System using GSM and GPS Modem,” Journal of Industrial Electronics and Applications, 2020. 9. Supriya Sarker, Md. Sajedur Rahman, “Intelligent Accident Detection, Location Tracking and Notification System,” IEEE Research Study, 2019. 10. Ajay Kumar et al., “Smart City Vehicle Accident Monitoring and Detection System using MEMS, GSM and GPS,” IETE Journal of Research, 2022.
Publication Date
5/1/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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