This $482,972 National Science Foundation (NSF) Engineering program (CFDA 47.041) grant supports fundamental research at North Carolina State University (NC State) to understand the behavior and interactions of mixed autonomous and human-driven vehicle traffic streams. The project aims to: (1) characterize the driving behaviors of human-driven and connected automated vehicles in conflicting traffic, (2) analyze the collective impact of mixed traffic on traffic flow, and (3) develop robust tactical-level control strategies for connected automated vehicles to improve system performance in terms of throughput, stability, and safety. The research involves data collection using driving simulators and field tests, behavior modeling for different vehicle types, and the design and evaluation of control strategies using rule-based and AI-based approaches. The results are expected to guide the development of roadway design, policies, and planning for future transportation systems integrating connected and automated vehicles. The project also includes educational and outreach activities, such as enhancing engineering curricula, broadening participation of women in STEM, and engaging K-12 students and teachers.
Generated 8/6/24, 3:04 AM