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Machine learning algorithms in ship design optimization
A robust machine learning structure for driving events recognition using smartphone motion sensors
An automatic methodology to measure drivers’ behavior in public transport
Crash classification based on manner of collision: a comparative analysis
Small-amplitude bogie hunting identification method for high-speed trains based on machine learning
Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles
In-store shopping trip predictions and impact factors during COVID-19 emergencies
Research on the air brake system of heavy haul trains based on neural network
A novel algorithm for ship characteristic points extraction based on density clustering
A residential location search model based on the reasons for moving out
Simulation-driven design of a fast monohull
A bibliometric analysis and review on reinforcement learning for transportation applications
Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems
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
Integration of machine learning and statistical models for crash frequency modeling
Arterial corridor travel time prediction under non-recurring conditions
Probabilistic traffic breakdown forecasting through Bayesian approximation using variational LSTMs
Estimating lane utilization for variable approach lanes using explainable machine learning
Integrating built environment and parking policy for car commuting reduction: evidence from Beijing
Automatic clustering-based approach for train wheels condition monitoring
A human-centric machine learning based personalized route choice prediction in navigation systems
Propeller optimization by interactive genetic algorithms and machine learning
Comparison of traffic accident injury severity prediction models with explainable machine learning
Shipping market forecasting by forecast combination mechanism
Microscopic modeling of cyclists on off-street paths: a stochastic imitation learning approach
Using reinforcement learning to minimize taxi idle times
Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model
Integrating data-driven and simulation models to predict traffic state affected by road incidents