Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model
A data-driven lane-changing behavior detection system based on sequence learning
A cold-start-free reinforcement learning approach for traffic signal control
Deep machine learning for structural health monitoring on ship hulls using acoustic emission method
Real-time traffic incident detection based on a hybrid deep learning model
Graph attention temporal convolutional network for traffic speed forecasting on road networks
Artificial intelligence for traffic signal control based solely on video images
Traffic congestion forecasting using multilayered deep neural network
STD-Yolov5: a ship-type detection model based on improved Yolov5
DRL-based adaptive signal control for bus priority service under connected vehicle environment
Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning
Predicting future locations of moving objects with deep fuzzy-LSTM networks
DLW-Net model for traffic flow prediction under adverse weather
Development of a novel engine power model to estimate heavy-duty truck fuel consumption