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/IJSREM56255

Intelligent Crash Detection and Emergency Alert Mechanism for Autonomous Vehicles Using CrashGuard X Technology

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM56255

Volume:

10 |

1 |

Jan 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM56255

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

SMKG

S M Kowsik Godavarthi1

KSRA

Komal Sai Raj Atmakuri2

VPA

Venkata Praveen Akula3

TM

Tanmayi Movva4

SRS

Sai Revanth Singavarapu5

SM

Shrinath Munagapati6

SA

Srikanth Annamareddy7

Author Services & Downloads

Full Articles

Abstract

The safety features of self-driving cars call for ever greater innovation with regard to crash awareness and notification technologies. In this paper, we develop an Intelligent Crash Detection and Emergency Alert for self-driving cars that is based on CrashGuard X Technology with hardware integration of MPU6050, ESP32, and Arduino IDE for accident detection in real time. The system employs an acceleration and rotation monitoring device, the MPU6050, to track sudden variations of impact. These impacts are measured and processed by a microcontroller, an ESP32, which is programmed with Embedded C to make decisions. As soon as the device processes a crash situation, the ESP32 sends an SOS alarm over a Wi-Fi network, providing an additional advantage of being able to communicate with other devices and informing them of the emergency situation. The overall objective remains which is to make the device lightweight, to consume low energy, and to be useful for future applications of self-driving cars. The tests were conducted which showed highly accurate crash detection with a limited number of false alerts improving the overall response time. The proposed solution is an increase in safety while responding to accidents, the capability of the vehicle to operate autonomously in a reliable manner, an important step forward in intelligent transportation systems and advanced drivers’ assistance systems.

KEYWORDS

Crash Detection Emergency Alert Autonomous Vehicles ESP32 MPU6050

Cite This Article

S M Kowsik Godavarthi1, Komal Sai Raj Atmakuri2, Venkata Praveen Akula3, Tanmayi Movva4, Sai Revanth Singavarapu5, Shrinath Munagapati6, Srikanth Annamareddy7, "Intelligent Crash Detection and Emergency Alert Mechanism for Autonomous Vehicles Using CrashGuard X Technology," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 1, Jan 2026. https://doi.org/10.55041/IJSREM56255

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

1/30/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

6

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...