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Predicting cycle-level traffic movements at signalized intersections using machine learning models
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning
Understanding e-bicycle overtaking strategy: insights from inverse reinforcement learning modelling
Real-time crash risk prediction on arterials based on LSTM-CNN
A hybrid machine learning model for predicting Real-Time secondary crash likelihood
Estimating cycle-level real-time traffic movements at signalized intersections
Dynamic short-term crash analysis and prediction at toll plazas for proactive safety management
Analyzing angle crashes at unsignalized intersections using machine learning techniques