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Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Predicting passenger satisfaction in public transportation using machine learning models
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
In-store shopping trip predictions and impact factors during COVID-19 emergencies
Revisiting residential self-selection and travel behavior connection using a double machine learning
Fake it till you make it: Synthetic data for emerging carsharing programs
Individual and synergistic associations among transit allowance, land use, and transit commuting
Built environment’s nonlinear effects on mode shares around BRT and rail stations
Machine Learning Based Compressive Strength Prediction Model for CFRP-confined Columns