A Machine Learning Framework for Short-Term Traffic Flow Prediction and Adaptive Traffic Signal Optimization Using Internet of Things (IoT) Sensor Data
Traffic demand at urban intersections fluctuates drastically across different signal phases, while conventional fixed-time signal control strategies fail to dynamically adjust green light durations in response to short-term traffic variations. This study addresses two core research questions: whether higher single-poin...