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Integrating data-driven and simulation models to predict traffic state affected by road incidents
Assessing influential factors for lane change behavior using full real-world vehicle-by-vehicle data
DLW-Net model for traffic flow prediction under adverse weather
Estimating cycle-level real-time traffic movements at signalized intersections
Electric vehicle charging demand forecasting using deep learning model
Development of a novel engine power model to estimate heavy-duty truck fuel consumption
Extreme wave height detection based on the meteorological data, using hybrid NOF-ELM method
Bayesian and machine learning-based fault detection and diagnostics for marine applications
Ship selection in port state control: status and perspectives
Application of machine learning with a surrogate model to explore seniors’ daily activity patterns
Joint learning of video images and physiological signals for lane-changing behavior prediction
IMM/EKF filter based classification of real-time freeway video traffic without learning
Ship classification based on convolutional neural networks