Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM.RACCES022

Automatic Crash Notification System with Ambulance and Police Dispatch Support

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM.RACCES022

Volume:

10 |

4 |

April 2026

Pages:

1--

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem.RACCES022

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.

Share this article:

Authors

B

Bavani.K

Computer Science & Engineering

Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India

Download Author Certificate
K

Kokila.G

Computer Science & Engineering

Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India

Download Co-Author Certificate
J

Jayasurya.R

Computer Science & Engineering

Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India

Download Co-Author Certificate
K

Kalaiselvi.R

Computer Science & Engineering

Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India

Download Co-Author Certificate

Mentors

P

Priya.K

Computer Science & Engineering

Bharathiyar Institute of Engineering for women (Autonomous) Salem, TamilNadu, India

Download Mentor Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

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

Keywords:VibrationSensor Maydaynotification call accelerometer sensor.

Cite This Article

Bavani.K, Kokila.G, Jayasurya.R, Kalaiselvi.R, Priya.K, "Automatic Crash Notification System with Ambulance and Police Dispatch Support," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1--, April 2026. https://doi.org/10.55041/ijsrem.RACCES022

Full Article/Conclusion

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.

References

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.

Editorial & Review Transparency

Publication Date

5/1/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

2

Total views since publication

PDF Downloads

4

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...