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Predicting network flows from speeds using open data and transfer learning
Automatic classification of traffic incident's severity using machine learning approaches
Dynamic speed harmonization for mixed traffic flow on the freeway using deep reinforcement learning
Deep learning methods in transportation domain: a review
CenLight: Centralized traffic grid signal optimization via action and state decomposition
Motion control of unmanned underwater vehicles via deep imitation reinforcement learning algorithm
Combining weather condition data to predict traffic flow: a GRU‐based deep learning approach
Use of learning classifier systems in microscopic toll plaza simulation models
Prediction of energy consumption for new electric vehicle models by machine learning
Deep adaptive learning for safe and efficient navigation of pedestrian dynamics
Hybrid model for predicting anomalous large passenger flow in urban metros
Ensemble classifier for driver's fatigue detection based on a single EEG channel
A cognition‐inspired trajectory prediction method for vehicles in interactive scenarios
Driver distraction detection via multi‐scale domain adaptation network
Ant colony optimisation for coloured travelling salesman problem by multi‐task learning
Deep Q‐network based multi‐layer safety lane changing strategy for vehicle platoon
Human‐centric multimodal deep (HMD) traffic signal control
Machine‐learning methodology for energy efficient routing
Multi‐agent trajectory prediction with adaptive perception‐guided transformers
Driving policies of V2X autonomous vehicles based on reinforcement learning methods
Fatigue driving detection model based on multi‐feature fusion and semi‐supervised active learning
Deep reinforcement‐learning‐based driving policy for autonomous road vehicles
Hybrid strategy for traffic light detection by combining classical and self‐learning detectors
Predictive model for battery life in IoT networks
How to pay less: a location‐specific approach to predict dynamic prices in ride‐on‐demand services
Lane detection method based on lane structural analysis and CNNs
GSA‐ELM: A hybrid learning model for short‐term traffic flow forecasting
Value‐based deep reinforcement learning for adaptive isolated intersection signal control
LSTM network: a deep learning approach for short‐term traffic forecast