Choice Modeling @ Cornell University
Funded by a US$3.2 million grant from the US Department of Energy, the project will introduce multimodal transport hubs in selected neighborhoods. These ‘mobility zones’ in the Tennessee city will integrate buses, on-demand shuttles, electric vehicles and bike shares, coordinated
This talk explored the integration of machine learning with econometric principles, focusing on behavioral regularization in travel demand modeling. Two case studies will illustrate the need for combining behavioral regularization with advanced machine learning techniques to ensure that models are
Cornell researchers are helping to transform portions of the Chattanooga, Tennessee, transit system into a seamless, artificial intelligence-powered network where buses, shuttles, electric cars and bikes work together to provide the most efficient routes – all at the push of
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