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Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model
DLW-Net model for traffic flow prediction under adverse weather
Assessing influential factors for lane change behavior using full real-world vehicle-by-vehicle data
Estimating cycle-level real-time traffic movements at signalized intersections
Development of a novel engine power model to estimate heavy-duty truck fuel consumption
Electric vehicle charging demand forecasting using deep learning model
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
Joint learning of video images and physiological signals for lane-changing behavior prediction
Application of machine learning with a surrogate model to explore seniors’ daily activity patterns
IMM/EKF filter based classification of real-time freeway video traffic without learning
Ship classification based on convolutional neural networks
Few-Shot traffic prediction based on transferring prior knowledge from local network
A bibliometric analysis and review on reinforcement learning for transportation applications
An evacuation guidance model for pedestrians with limited vision
Eco-driving at signalized intersections: a parameterized reinforcement learning approach
Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems
Integration of machine learning and statistical models for crash frequency modeling
Social group detection based on multi-level consistent behaviour characteristics
Estimating the effect of biofouling on ship shaft power based on sensor measurements
Prediction of extent of damage in vehicle during crash using improved XGBoost model
Method for automated detection of outliers in crash simulations
DRL-based adaptive signal control for bus priority service under connected vehicle environment
Arterial corridor travel time prediction under non-recurring conditions
Vehicle yaw stability control with a two-layered learning MPC
Probabilistic traffic breakdown forecasting through Bayesian approximation using variational LSTMs