SMART SIGNALS, SMOOTHER STREETS: DYNAMIC TRAFFIC SIGNAL CONTROL
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Traffic congestion is a major problem in modern urban areas due to the increasing number of vehicles and the limitations of traditional fixed-time traffic signal systems. These conventional systems fail to respond to real-time traffic conditions, resulting in longer waiting times, higher fuel consumption, and increased environmental pollution. This project presents a Dynamic Traffic Signal Allocation System that combines computer vision and real-time data processing to optimize traffic signal control. The system integrates the SUMO traffic simulator to model road networks and simulate traffic flow, while a YOLO-based object detection model is used to detect and count vehicles from simulated video streams. Based on the detected vehicle counts, a Q-Learning algorithm determines the optimal green signal duration for each lane by considering current traffic density and minimizing overall vehicle delay. A TraCI interface is used to communicate with the SUMO simulation in real time and control signal phase operations. Traffic data and system outputs are stored using Firebase Firestore, enabling realtime monitoring across sessions. A Flask-based backend handles data processing and serves the application, while a web-based dashboard built with HTML, CSS, and JavaScript displays traffic statistics through charts and exportable reports. The proposed system demonstrates improved traffic flow, reduced congestion at intersections, and a practical approach to adaptive signal control. It is designed with scalability in mind and shows potential for integration into broader smart city frameworks as a cost-effective alternative to conventional traffic management reflect the core contribution of the paper. Please avoid citations in the abstract.
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Derle, R., Pachorkar, P., Jadhav, M. A., Nikam, M. A., Jadhav, M. P. & Baste, M. A. (2026). Smart Signals, Smoother Streets: Dynamic Traffic Signal Control. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.248
Derle, R.S., et al.. "Smart Signals, Smoother Streets: Dynamic Traffic Signal Control." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.248.
Derle, R.S.,P.R. Pachorkar,Mast. Jadhav,Mast. Nikam,Mast. Jadhav, and Mast. Baste. "Smart Signals, Smoother Streets: Dynamic Traffic Signal Control." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.248.
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