Q-Net is a state-space Kalman filter augmented with neural networks that learns time-varying gains to integrate loop detector counts and segment-wise average speeds for real-time queue length estimation at signalized intersections.
Multi-sensor traffic data fusion for congestion detection and tracking
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Q-Net: Queue Length Estimation via Kalman-based Neural Networks
Q-Net is a state-space Kalman filter augmented with neural networks that learns time-varying gains to integrate loop detector counts and segment-wise average speeds for real-time queue length estimation at signalized intersections.