The National Science Foundation (NSF) awarded a $272,546 Project Grant under the Engineering program (CFDA 47.041) to the University of Iowa. The objective of this 3-year grant is to support research on multimodal transit services that combine fixed-route public transit with shared mobility options, while accounting for uncertainties in travel time, demand, and rider preferences. The research team will develop a hierarchical, data-driven optimization framework to model user behaviors and inform the planning and operation of these multimodal transit systems. Key outcomes include an integrated optimization framework, data-driven methods to learn user preferences, distribution-free approaches to accommodate unknown uncertainties, and efficient computational methods. The project also aims to advance curriculum development, promote diversity in STEM fields, and engage in K-12 outreach activities.
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