Efficient deep learning based method for multi-lane speed forecasting: a case study in Beijing
Short-term traffic congestion prediction with Conv–BiLSTM considering spatio-temporal features
Sequence-based centrality measures in maritime transportation networks
Hybrid model for predicting anomalous large passenger flow in urban metros
Multi-task deep learning with optical flow features for self-driving cars
Vehicle counting and traffic flow parameter estimation for dense traffic scenes
Urban traffic flow online prediction based on multi-component attention mechanism
Short-term traffic flow prediction of road network based on deep learning
Spatio-temporal expand-and-squeeze networks for crowd flow prediction in metropolis
Modelling heterogeneous traffic dynamics by considering the influence of V2V safety messages
Field data application of a non-lane-based multi-class traffic flow model
Impacts of bus stop location and berth number on urban network traffic performance