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Proposing Cooperative Maneuvers Among Automated Vehicles Using Machine Learning
PLSAV: Parallel loop searching and verifying for loop closure detection
A Sound-based Machine Learning to Predict Traffic Vehicle Density
Shipping market forecasting by forecast combination mechanism
Microscopic modeling of cyclists on off-street paths: a stochastic imitation learning approach
Application of algorithmic models of machine learning to the freight transportation process
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021
Using reinforcement learning to minimize taxi idle times
Integrating data-driven and simulation models to predict traffic state affected by road incidents
Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model
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
Bayesian and machine learning-based fault detection and diagnostics for marine applications
Ship selection in port state control: status and perspectives