Data and Decision Science for Mobility Services
The availability of massive data sets, combined with progress in communication technologies, connected and automated vehicles, and analytics, has the potential to transform mobility for entire population segments. This talk reviews this opportunity, from its potential societal impact, to the development of new mobility services, and the science and technology powering them. In particular, the talk presents recent developments in on-demand multimodal transit systems and community-based trip sharing on real case studies, as well as the optimization and privacy mechanisms underlying them.
Pascal Van Hentenryck is the Seth Bonder Collegiate Professor of Engineering at the University of Michigan. He is a professor of Industrial and Operations Engineering, a professor of Electrical Engineering and Computer Science, and a core faculty in the Michigan Institute of Data Science. Van Hentenryck's current research is at the intersection of optimization and data science with applications in energy, transportation, resilience, and computational social science.