The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $202,000 Project Grant to Michigan State University under the Engineering (CFDA 47.041) program. The funding will support collaborative research to develop scalable, data-driven predictive control frameworks for managing mixed traffic systems with connected and automated vehicles alongside human-driven vehicles. The project aims to enable advancements in transportation efficiency and safety by designing control algorithms that can coordinate multiple connected and automated vehicles in real-time, without requiring explicit modeling of human driver behavior. The research will involve extensive simulations and field experiments conducted in collaboration with an industry partner, and the results will be disseminated to the research community and automotive industry through open-source software and a workshop. This project supports NSF's mission to promote the progress of science and advance national prosperity through innovative engineering research.
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