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Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Using reinforcement learning to minimize taxi idle times
GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model
Few-Shot traffic prediction based on transferring prior knowledge from local network
A cold-start-free reinforcement learning approach for traffic signal control
Artificial intelligence for traffic signal control based solely on video images
Performance evaluation of mode choice models under balanced and imbalanced data assumptions
Shipping market forecasting by forecast combination mechanism
A data-driven lane-changing behavior detection system based on sequence learning
Microscopic modeling of cyclists on off-street paths: a stochastic imitation learning approach
Machine learning algorithms in ship design optimization
A robust machine learning structure for driving events recognition using smartphone motion sensors
Understanding e-bicycle overtaking strategy: insights from inverse reinforcement learning modelling
A bibliometric analysis and review on reinforcement learning for transportation applications
SATP-GAN: self-attention based generative adversarial network for traffic flow prediction
An evacuation guidance model for pedestrians with limited vision
Graph attention temporal convolutional network for traffic speed forecasting on road networks
Learning Drivers’ Behavior to Improve Adaptive Cruise Control
Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems
Alighting stop determination using two-step algorithms in bus transit systems
Calibrating microscopic traffic simulators using machine learning and particle swarm optimization
A unified framework of proactive self-learning dynamic pricing for high-occupancy/toll lanes
Eco-driving at signalized intersections: a parameterized reinforcement learning approach
Efficient Exploitation of Existing Corporate Knowledge in Conceptual Ship Design
Reinforcement learning-enabled genetic algorithm for school bus scheduling
STD-Yolov5: a ship-type detection model based on improved Yolov5
Real-time traffic incident detection based on a hybrid deep learning model
Traffic congestion forecasting using multilayered deep neural network
An automatic methodology to measure drivers’ behavior in public transport
Forecasting road traffic conditions using a context-based random forest algorithm
Asynchronous n-step Q-learning adaptive traffic signal control