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Maschinelles Lernen
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Transferability improvement in short-term traffic prediction using stacked LSTM network
Revisiting residential self-selection and travel behavior connection using a double machine learning
An online updating method for time-varying preference learning
Analysis and estimation of energy consumption of electric buses using real-world data
Analysis of links between dockless bikeshare and metro trips in Beijing
Estimation of grassland height using optical and SAR remote sensing data
Identifying the rail operating features associated to intermodal freight rail operation delays
Intelligent selection of NEO deflection strategies under uncertainty
Exploring the nonlinear effects of built environment characteristics on customized bus service
Trajectory classification in circular restricted three-body problem using support vector machine
Forecasting transportation demand for the U.S. market
Railroad accident analysis using extreme gradient boosting
Exploring nonlinear built environment effects on driving with a mixed-methods approach
A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents
A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
Forecasting container freight rates using the Prophet forecasting method
Automated data-driven prediction on aircraft Estimated Time of Arrival
A deep neural network inverse solution to recover pre-crash impact data of car collisions
Machine learning-enhanced aircraft landing scheduling under uncertainties
A time series clustering based approach for construction of real-world drive cycles
Deriving a joint risk estimate from dynamic data collected at motorcycle rides
Young driver fatal motorcycle accident analysis by jointly maximizing accuracy and information
Terramechanics models augmented by machine learning representations
A data-centric weak supervised learning for highway traffic incident detection