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Shipping market forecasting by forecast combination mechanism
Microscopic modeling of cyclists on off-street paths: a stochastic imitation learning approach
Calibrating microscopic traffic simulators using machine learning and particle swarm optimization
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
Using reinforcement learning to minimize taxi idle times
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021
Integration of machine learning and statistical models for crash frequency modeling
Traffic volume prediction on low-volume roadways: a Cubist approach
Integrating data-driven and simulation models to predict traffic state affected by road incidents
Incorporating congestion patterns into spatio-temporal deep learning algorithms
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
Arterial corridor travel time prediction under non-recurring conditions
Probabilistic traffic breakdown forecasting through Bayesian approximation using variational LSTMs
Predicting the traction power of metropolitan railway lines using different machine learning models
Ship selection in port state control: status and perspectives
Estimating lane utilization for variable approach lanes using explainable machine learning
Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic
Integrating built environment and parking policy for car commuting reduction: evidence from Beijing
Automatic clustering-based approach for train wheels condition monitoring
Application of machine learning with a surrogate model to explore seniors’ daily activity patterns
Analyzing travel behavior in Hanoi using Support Vector Machine
A human-centric machine learning based personalized route choice prediction in navigation systems
Identifying traffic conditions from non-traffic related sources
Performance evaluation of mode choice models under balanced and imbalanced data assumptions