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Incorporating congestion patterns into spatio-temporal deep learning algorithms
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
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
Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model
Predicting incident duration using random forests
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
Sharkeye: Real-Time Autonomous Personal Shark Alerting via Aerial Surveillance
Arterial corridor travel time prediction under non-recurring conditions
Probabilistic traffic breakdown forecasting through Bayesian approximation using variational LSTMs