Project Portfolio AI/Machine Learning & Big Data Conducing Bus Stop Census with Computer Vision How do transportation professionals perceive AI's equity and efficiency impacts? Analyzing wildfire evacuation behavior with GPS data Understanding micromobility equity with open big data Micromobility Analytics and Management Platform (Technology Transfer) Processing the GBFS data to facilitate transportation planning and decision-making Modeling ridesplitting adoption rate with machine learning Comparing machine learning and logit models in travel mode choice modeling Predicting ridesourcing demand with machine learning Transit & New Mobility Conducing Bus Stop Census with Computer Vision A Novel Method for Locating Mobility Hubs Shared micromobility as a last-mile transit solution? Spatiotemporal insights from a novel dataset E-scooter, public transit, and bikesharing Mobility-on-demand vs fixed-route transit systems in low-income communities Modeling e-scooter use at the street segment level Modeling ridesplitting adoption rate with machine learning Predicting ridesourcing demand with machine learning Traveler preferences for an integrated transit system that combines fixed-route and ridesourcing services
AI/Machine Learning & Big Data Conducing Bus Stop Census with Computer Vision How do transportation professionals perceive AI's equity and efficiency impacts? Analyzing wildfire evacuation behavior with GPS data Understanding micromobility equity with open big data Micromobility Analytics and Management Platform (Technology Transfer) Processing the GBFS data to facilitate transportation planning and decision-making Modeling ridesplitting adoption rate with machine learning Comparing machine learning and logit models in travel mode choice modeling Predicting ridesourcing demand with machine learning
Transit & New Mobility Conducing Bus Stop Census with Computer Vision A Novel Method for Locating Mobility Hubs Shared micromobility as a last-mile transit solution? Spatiotemporal insights from a novel dataset E-scooter, public transit, and bikesharing Mobility-on-demand vs fixed-route transit systems in low-income communities Modeling e-scooter use at the street segment level Modeling ridesplitting adoption rate with machine learning Predicting ridesourcing demand with machine learning Traveler preferences for an integrated transit system that combines fixed-route and ridesourcing services