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:IJSREM21879

Traffic Sign Classification for Automated Cars

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM21879

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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

MPS

Ms. Pallavi Shejwal

AK

Aditya Korad

KB

Kartikeya Bapat

HK

Harshal Kamble

CV

Chaitanya Virkar

Author Services & Downloads

Full Articles

Abstract

Developing an automated driver guidance system is very important in the context of Indian road conditions. Be it a human driver driving a car or a self-driven car, following traffic signs on Indian roads is necessary. A lot of traffic sign violations are seen and heard of, mainly the reasons for which are over speeding, broken traffic signs, distorted signs, night time conditions, etc. In India there are multiple roads where traffic signs do not survive and are mostly broken are covered in trees or any hindrance. Traffic signs are mostly damaged and distorted by the civilians itself which causes more traffic sign violations. The recent technical development in mobile processors led many automobile manufacturers to deploy computer vision systems into their cars. These systems ensure safety which is a crucial aspect for autonomous vehicles. Traffic sign recognition is one of the most well-known and widely discussed tasks that can be solved by these computer vision systems. It can ensure safety as it allows the vehicle to know what different signs on the road mean and act accordingly. However, such systems come with problems like low accuracy in detection, and some systems are unable to detect traffic signs from different countries.

KEYWORDS

Python Imaging Library (PIL) Deep Learning Neural Networks.

Cite This Article

Ms. Pallavi Shejwal, Aditya Korad, Kartikeya Bapat, Harshal Kamble, Chaitanya Virkar, "Traffic Sign Classification for Automated Cars," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023.

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

5/27/2023

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

1

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...