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Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Revisiting residential self-selection and travel behavior connection using a double machine learning
Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors
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
A state-of-the-art survey of deep learning models for automated pavement crack segmentation
Identification of optimal locations of adaptive traffic signal control using heuristic methods