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Automatic classification of traffic incident's severity using machine learning approaches
Deep learning methods in transportation domain: a review
Motion control of unmanned underwater vehicles via deep imitation reinforcement learning algorithm
Use of learning classifier systems in microscopic toll plaza simulation models
Combining weather condition data to predict traffic flow: a GRU-based deep learning approach
Prediction of energy consumption for new electric vehicle models by machine learning
Ant colony optimisation for coloured travelling salesman problem by multi-task learning
Ensemble classifier for driver's fatigue detection based on a single EEG channel
Hybrid model for predicting anomalous large passenger flow in urban metros
Machine-learning methodology for energy efficient routing
Heuristics-oriented overtaking decision making for autonomous vehicles using reinforcement learning
Driving policies of V2X autonomous vehicles based on reinforcement learning methods
Hybrid strategy for traffic light detection by combining classical and self-learning detectors
Fatigue driving detection model based on multi-feature fusion and semi-supervised active learning
Predictive model for battery life in IoT networks
Deep reinforcement-learning-based driving policy for autonomous road vehicles
Urban traffic signal control using reinforcement learning agents
How to pay less: a location-specific approach to predict dynamic prices in ride-on-demand services
Reinforcement learning-based multi-agent system for network traffic signal control
Lane detection method based on lane structural analysis and CNNs
Value-based deep reinforcement learning for adaptive isolated intersection signal control
Deep reinforcement learning based conflict detection and resolution in air traffic control
Discriminatively trained patch-based model for occupant classification
Understanding drivers' route choice behaviours in the urban network with machine learning models
Learning user preferences of route choice behaviour for adaptive route guidance
Learning-based method for lane detection using regionlet representation
LSTM network: a deep learning approach for short-term traffic forecast
Deep learning-based vehicle detection with synthetic image data
Impact of on-board tutoring systems to improve driving efficiency of non-professional drivers
Iterative learning of an unknown road path through cooperative driving of vehicles
Short-term FFBS demand prediction with multi-source data in a hybrid deep learning framework
Long short-term memory and convolutional neural network for abnormal driving behaviour recognition
Short-term traffic forecasting using self-adjusting k-nearest neighbours
Comparative analysis of implicit models for real-time short-term traffic predictions
Recognising daytime and nighttime driving images using Bayes classifier
Short-term traffic flow prediction of road network based on deep learning
SVRGSA: a hybrid learning based model for short-term traffic flow forecasting