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learning
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keywords:(learning)
Traffic volume prediction on low-volume roadways: a Cubist approach
Social group detection based on multi-level consistent behaviour characteristics
Integrating data-driven and simulation models to predict traffic state affected by road incidents
Incorporating congestion patterns into spatio-temporal deep learning algorithms
Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model
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
Cruise dynamic pricing based on SARSA algorithm
DRL-based adaptive signal control for bus priority service under connected vehicle environment
Predicting network flows from speeds using open data and transfer learning
Swarm Cooperative Navigation Using Centralized Training and Decentralized Execution
Predicting incident duration using random forests
Development of a global road safety performance function using deep neural networks