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learning
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keywords:(learning)
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 traffic signal control using reinforcement learning agents
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
Smart parking sensors, technologies and applications for open parking lots: a review
Short-term traffic forecasting using self-adjusting k-nearest neighbours
Short-term traffic flow prediction of road network based on deep learning
Short-term FFBS demand prediction with multi-source data in a hybrid deep learning framework
Semi-automatic annotation samples for vehicle type classification in urban environments
Research on subway pedestrian detection algorithms based on SSD model
Research on deep learning method for rail surface defect detection
Reported use of speed control systems: cruise control and speed limiter
Reinforcement learning-based multi-agent system for network traffic signal control
Recognising daytime and nighttime driving images using Bayes classifier
Receding horizon optimal control of HEVs with on-board prediction of driver's power demand
Real-time detection of distracted driving based on deep learning
Rainfall-integrated traffic speed prediction using deep learning method
Principal component analysis-based learning for preceding vehicle classification
Predictive model for battery life in IoT networks
Prediction of energy consumption for new electric vehicle models by machine learning
Predicting vacant parking space availability: an SVR method with fruit fly optimisation
Predicting driver behaviour at intersections based on driver gaze and traffic light recognition
Pedestrian motion recognition via Conv-VLAD integrated spatial-temporal-relational network
Multi-task deep learning with optical flow features for self-driving cars
Multi-receptive field graph convolutional neural networks for pedestrian detection