ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
Low Cost₹1501 / $59
CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Smart City Traffic Conditions Monitoring Using Deep learning
Authors
Chitla jahnavi , Masarthi sahithi , Soudu vignesh , Kokkula sai vignesh
Keywords
Traffic Monitoring, YOLOv8, Deep Learning, Vehicle Detection, Traffic Density Estimation, Flask, Smart City, Real-Time Monitoring
Abstract
This work proposes a deep learning-based traffic monitoring system using YOLO to detect vehicles and classify traffic as low, normal, or heavy. It also identifies possible accidents and displays results on a real-time dashboard, improving traffic management and road safety.
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How To Cite
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IJCRT — journal style
"Smart City Traffic Conditions Monitoring Using Deep learning", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 3, page no.f500-f509, March 2026, Available :https://ijcrt.org/papers/IJCRT2603654.pdf
APA — 7th edition
jahnavi, C., sahithi, M., vignesh, S., & vignesh, K. S. (2026). Smart City Traffic Conditions Monitoring Using Deep learning. International Journal of Creative Research Thoughts, 14(3), f500-f509. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603654
MLA — 9th edition
jahnavi, Chitla, et al. "Smart City Traffic Conditions Monitoring Using Deep learning." International Journal of Creative Research Thoughts, vol. 14, no. 3, 2026, pp. f500-f509, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603654.
Chicago — 17th, bibliography
jahnavi, Chitla, et al. "Smart City Traffic Conditions Monitoring Using Deep learning." International Journal of Creative Research Thoughts 14, no. 3 (2026): f500-f509. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603654.
Harvard — author–date
jahnavi, C. et al. (2026) 'Smart City Traffic Conditions Monitoring Using Deep learning', International Journal of Creative Research Thoughts, 14(3), pp. f500-f509. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603654
IEEE — numbered reference
C. jahnavi, M. sahithi, S. vignesh and K. S. vignesh, "Smart City Traffic Conditions Monitoring Using Deep learning," IJCRT, vol. 14, no. 3, pp. f500-f509, Mar. 2026.
Vancouver — biomedical
jahnavi C, sahithi M, vignesh S, vignesh KS. Smart City Traffic Conditions Monitoring Using Deep learning. IJCRT. 2026 Mar;14(3):f500-f509.
AMA — 11th edition
jahnavi C, sahithi M, vignesh S, vignesh KS. Smart City Traffic Conditions Monitoring Using Deep learning. IJCRT. 2026;14(3):f500-f509. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603654
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2603654,
author = {Chitla jahnavi and Masarthi sahithi and Soudu vignesh and Kokkula sai vignesh},
title = {Smart City Traffic Conditions Monitoring Using Deep learning},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {3},
pages = {f500-f509},
year = {2026},
month = {March},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603654}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - jahnavi, Chitla
AU - sahithi, Masarthi
AU - vignesh, Soudu
AU - vignesh, Kokkula sai
TI - Smart City Traffic Conditions Monitoring Using Deep learning
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 3
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603654
SP - f500-f509
ER -
Issue
Volume 14 Issue 3,
March-2026
Pages : f500-f509
Article Information
- Pages
- f500-f509
- Published
- March 2026
- Registration ID
- IJCRT_303544
- Published Paper ID
- IJCRT2603654
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Karimnagar, Telangana, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 146
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603654
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2603654.pdf
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International Journal of Creative Research Thoughts
Published by IJCRT Publication
2320-2882
ISSN
9.17
Impact Factor
2013
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Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
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