Published on: May 2026
SMART TRAFFIC MANAGEMENT SYSTEM
S.VENNELA V.MAHITHA P.AKSHAYA M.KEERTHI
DR.KSRK SARMA
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Abstract
The proposed system uses IoT sensors, GPS tracking, cameras, and AI-based traffic analysis to monitor vehicle density, analyze traffic conditions, and optimize signal timings in real time. Unlike conventional systems, traffic signals adjust dynamically based on road conditions, helping reduce congestion, waiting time, fuel consumption, and pollution.
How to Cite this Paper
S.VENNELA, , V.MAHITHA, , P.AKSHAYA, & M.KEERTHI, (2026). Smart Traffic Management System. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i4.1036
S.VENNELA, , et al.. "Smart Traffic Management System." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.1036.
S.VENNELA, , V.MAHITHA, P.AKSHAYA, and M.KEERTHI. "Smart Traffic Management System." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.1036.
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References
- [1] Ministry of Road Transport and Highways, Government of India, Intelligent Transport Systems (ITS) and Traffic Management, Available at: https://morth.nic.in
- [2] National Highways Authority of India (NHAI), Smart Traffic and Highway Management Systems, Available at: https://nhai.gov.in
- IEEE Intelligent Transportation Systems Society, Smart Traffic Control and Management Systems, Available at: https://ieee-its.org
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- World Bank, Smart Cities and Intelligent Transport Systems, Available at: https://www.worldbank.org
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Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: May 03 2026
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