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Alighting stop determination using two-step algorithms in bus transit systems
Forecasting road traffic conditions using a context-based random forest algorithm
Asynchronous n-step Q-learning adaptive traffic signal control
Investigating an SVM-driven, one-class approach to estimating ship systems condition
Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning
Short-term metro passenger flow forecasting using ensemble-chaos support vector regression
Predicting future locations of moving objects with deep fuzzy-LSTM networks
Predicting incident duration using random forests
Collision-avoidance under COLREGS for unmanned surface vehicles via deep reinforcement learning
Identifying traffic conditions from non-traffic related sources
A machine learning-based method for simulation of ship speed profile in a complex ice field
GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model