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Vision-based road slope estimation methods using road lines or local features from instant images
Value-based deep reinforcement learning for adaptive isolated intersection signal control
Use of learning classifier systems in microscopic toll plaza simulation models
Urban rail transit passenger flow forecast based on LSTM with enhanced long-term features
Unsupervised hybrid anomaly detection model for logistics fleet management systems
Understanding drivers' route choice behaviours in the urban network with machine learning models
Trajectory prediction for intelligent vehicles using spatial-attention mechanism
Trajectory-based anomalous behaviour detection for intelligent traffic surveillance
Traffic sign recognition using weighted multi-convolutional neural network
Traffic light control using deep policy-gradient and value-function-based reinforcement learning
SVRGSA: a hybrid learning based model for short-term traffic flow forecasting
Spatio-temporal expand-and-squeeze networks for crowd flow prediction in metropolis