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Title: :  SMART TRAFFIC AI MONITORING SYSTEM-AI/ML
PaperId: :  27843
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 6 2025
DUI:    16.0415/IJARIIE-27843
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
PRIYANKA MTRajarajeshwari college of engineering
YASHASWINI TPRajarajeshwari college of engineering
REBEKAH KRajarajeshwari college of engineering
Varshini K MRajarajeshwari college of engineering
Dr. Thippeswamy G RRajarajeshwari college of engineering

Abstract

INFORMATION SCIENCE AND ENGINEERING
Keyword: - Smart Traffic Management, Artificial Intelligence, Toll Collection System, Real-time Analytics, Urban Mobility.
The rapid urbanization and increasing vehicle density in modern cities have created unprecedented challenges in traf- fic management, leading to congestion, pollution, and economic losses. This paper presents a comprehensive AI-based Smart Traffic Management System that leverages artificial intelligence, machine learning, and modern web technolo- gies to optimize traffic flow and revolutionize toll collection processes. The system integrates multiple innovative com- ponents including intelligent toll collection with QR code scanning, real-time traffic monitoring, predictive analytics, and a user-friendly interface for both commuters and administrators. Our approach employs React.js for the fron- tend, TypeScript for type safety, and incorporates advanced features such as real-time data visualization, automated payment processing, and adaptive traffic signal control. The system demonstrates significant improvements in traffic flow efficiency, reduction in waiting times at toll plazas, and enhanced user experience through digital transformation. The implementation includes professional government-style interfaces, secure payment gateways, and comprehensive dashboard analytics for traffic authorities. Experimental results show a 65% reduction in average processing time at toll plazas, a 40% decrease in traffic congestion during peak hours, and a 85% user satisfaction rate. The system’s modular architecture allows for seamless integration with existing infrastructure while providing scalability for future enhancements. This research contributes to the field of intelligent transportation systems by presenting a practical, deployable solution that addresses the critical challenges of modern urban traffic management through the effective application of artificial intelligence and digital technologies. The proposed system not only improves operational ef- ficiency but also provides valuable insights for traffic planning and policy development through comprehensive data analytics and reporting capabilities.

Citations

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IJARIIE PRIYANKA MT, YASHASWINI TP, REBEKAH K, Varshini K M, and Dr. Thippeswamy G R. "SMART TRAFFIC AI MONITORING SYSTEM-AI/ML" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 6 2025 Page 1975-1983
MLA PRIYANKA MT, YASHASWINI TP, REBEKAH K, Varshini K M, and Dr. Thippeswamy G R. "SMART TRAFFIC AI MONITORING SYSTEM-AI/ML." International Journal Of Advance Research And Innovative Ideas In Education 11.6(2025) : 1975-1983.
APA PRIYANKA MT, YASHASWINI TP, REBEKAH K, Varshini K M, & Dr. Thippeswamy G R. (2025). SMART TRAFFIC AI MONITORING SYSTEM-AI/ML. International Journal Of Advance Research And Innovative Ideas In Education, 11(6), 1975-1983.
Chicago PRIYANKA MT, YASHASWINI TP, REBEKAH K, Varshini K M, and Dr. Thippeswamy G R. "SMART TRAFFIC AI MONITORING SYSTEM-AI/ML." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 6 (2025) : 1975-1983.
Oxford PRIYANKA MT, YASHASWINI TP, REBEKAH K, Varshini K M, and Dr. Thippeswamy G R. 'SMART TRAFFIC AI MONITORING SYSTEM-AI/ML', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 6, 2025, p. 1975-1983. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/SMART__TRAFFIC__AI__MONITORING__SYSTEM_AI_ML_ijariie27843.pdf (Accessed : ).
Harvard PRIYANKA MT, YASHASWINI TP, REBEKAH K, Varshini K M, and Dr. Thippeswamy G R. (2025) 'SMART TRAFFIC AI MONITORING SYSTEM-AI/ML', International Journal Of Advance Research And Innovative Ideas In Education, 11(6), pp. 1975-1983IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/SMART__TRAFFIC__AI__MONITORING__SYSTEM_AI_ML_ijariie27843.pdf (Accessed : )
IEEE PRIYANKA MT, YASHASWINI TP, REBEKAH K, Varshini K M, and Dr. Thippeswamy G R, "SMART TRAFFIC AI MONITORING SYSTEM-AI/ML," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 6, pp. 1975-1983, Nov-Dec 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/SMART__TRAFFIC__AI__MONITORING__SYSTEM_AI_ML_ijariie27843.pdf [Accessed : ].
Turabian PRIYANKA MT, YASHASWINI TP, REBEKAH K, Varshini K M, and Dr. Thippeswamy G R. "SMART TRAFFIC AI MONITORING SYSTEM-AI/ML." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 6 ().
Vancouver PRIYANKA MT, YASHASWINI TP, REBEKAH K, Varshini K M, and Dr. Thippeswamy G R. SMART TRAFFIC AI MONITORING SYSTEM-AI/ML. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(6) : 1975-1983. Available from: https://ijariie.com/AdminUploadPdf/SMART__TRAFFIC__AI__MONITORING__SYSTEM_AI_ML_ijariie27843.pdf
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