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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
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
Individual and synergistic associations among transit allowance, land use, and transit commuting
Fake it till you make it: Synthetic data for emerging carsharing programs
Built environment’s nonlinear effects on mode shares around BRT and rail stations
Adaptive human-robot policy blending for shared control teleoperation
Machine Learning Based Compressive Strength Prediction Model for CFRP-confined Columns
A data-driven decision support system for service completion prediction in last mile logistics
Ineffective built environment interventions: How to reduce driving in American suburbs?
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Reshaping China's urban networks and their determinants: High-speed rail vs. air networks
Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis
Joint associations of environmental and sociodemographic attributes with active and sedentary travel
Exploring user satisfaction and improvement priorities in electric vehicle segments
Forecasting container freight rates using the Prophet forecasting method
Analysis of links between dockless bikeshare and metro trips in Beijing
A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents
Analysis and estimation of energy consumption of electric buses using real-world data
Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification