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journal:(Research)
A Comprehensive Business Location Choice Model Leveraging Machine Learning in Systematic Choice Set
Mode Choice and Value of Time on Long-Distance Vacation Trips
Application of the Machine Learning Method to Determine Spring Load Limits and Winter Weight Premium
Assessing Corridor Safety Performance at Approaches to Freeway Interchanges Using Lane Change Data
Closing the Cycling Gap: Examining Equity Implications of Montreal’s Bikesharing Network Growth
Patrol Regimes for Traffic Officers in Transportation Asset Monitoring
Predicting University Campus Parking Demand Using Machine Learning Models
Flight Time and Flight Traffic Before, During, and After the Pandemic: What Has Changed?
Prioritizing Outlier Parcels for Public Transport-Based Crowdshipping in Urban Logistics
Toward a Comprehensive Pavement Reliability Analysis Approach
Futures Market for Demand Responsive Travel Pricing
Forecasting Traffic Speed during Daytime from Google Street View Images using Deep Learning
Quantifying the Impact of Reclaimed Asphalt Pavement on the Skid Resistance of Surface Mixtures
Estimation of the Change in Cumulative Flow over Probe Trajectories using Detector Data
Incorporating a Public Transit Equity Lens in Evacuation Planning
Evacuation Efficiency under Different Departure Time and Destination Choice Preferences
Interpretable Machine Learning for Mode Choice Modeling on Tracking-Based Revealed Preference Data
Review of Current Practice and Research on E-Bikes in Transport Models
Potential of Bike Sharing During Disruptive Public Health Crises: A Review of COVID-19 Impacts
Who is Buying SUVs and Light Trucks in Montreal? A Factor and Cluster Analysis
Scenario-Based Strategic Modeling of Road Transport Demand and Performance
Testing individual baroreflex responses to hypoxia-induced peripheral chemoreflex stimulation
Applying an Agent-Based Social Network in Travel Forecasting with Effects on Disease Spread
Alternative Approaches for Rapid Evaluation of Frictional Resistance of Aggregates
Using Deep Neural Networks and Big Data to Predict Microscopic Travel Time in Work Zones