The goal of the multiyear MIDAS Challenge Initiatives program is to foster data science projects that have the potential to prompt new partnerships between U-M, federal research agencies and industry. The challenges are focused on four areas: transportation, learning analytics, social science and health science.
Reinventing Public Urban Transportation and Mobility
Description: The project will help design and operate an on-demand, public transportation system for urban areas in which a fleet of connected and automated vehicles are synchronized with buses and light rail, using predictive models based on high volumes of diverse transportation data. The goal is to begin testing on the U-M campus within a year, and then expand the experiment to Ann Arbor and Detroit.
Lead researcher: Pascal Van Hentenryck, Industrial Operations and Engineering
Research team: Ceren Budak and Tawanna Dillahunt, School of Information; Amy Cohn, Industrial and Operations Engineering; Rebecca Cunningham, Emergency Medicine; Robert Hampshire and Jim Sayer, U-M Transportation Research Institute; Jerome Lynch, Civil and Environmental Engineering; Jonathan Levine and Louis Merlin, Taubman College of Architecture and Urban Planning; Luis Ortiz, Computer and Information Science, UM-Dearborn; and Michael Wellman, Computer Science and Engineering.
You can learn more about this and the other projects in an article published by the University Record on June 22, 2016.