The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $203,000 Project Grant to the University of California, San Diego (UCSD) under the NSF Engineering program (CFDA 47.041). The grant will fund a collaborative research project that aims to develop a new data-driven model-free control and optimization framework to enable efficient, robust, and safe coordination of connected and automated vehicles in mixed traffic systems with human-driven vehicles. The research will disseminate results to the research community and automotive industry through open-source software and a workshop. The project also includes educational and outreach activities to increase participation of undergraduate and high-school students in engineering research. Through this grant, the researchers at UCSD seek to advance the foundations of scalable control designs for connected and automated vehicles that can meet real-time computational constraints and guarantee safe performance in mixed traffic conditions without explicit modeling of human driver behavior.
Generated 5/14/24, 1:55 AM