This EAGER (Early-Concept Grants for Exploratory Research) project, awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041), will identify gaps in translating traffic control theoretical research into practical traffic controls used in real-world settings. The $300,000 project, running from September 1, 2024 to August 31, 2026, will attempt to discover scientific reasons for the disconnect between academic traffic control research and the legacy theories and models...
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...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will provide $518,552 to the Regents of the University of Minnesota to fund research that leverages artificial intelligence and individual vehicle trajectory data to study traffic flow dynamics and develop novel traffic control strategies. The research aims to create more efficient traffic control without major infrastructure changes, saving costs for infrastructure managers while improving...
This Project Grant award, provided by the National Science Foundation (NSF) under its Engineering (CFDA 47.041) program, will fund research to develop novel models and scalable algorithms for dynamic demand control to enhance shared use of emerging autonomous mobility systems. With a total funding amount of $150,000 and a period of performance from May 1, 2025 to April 30, 2026, the project aims to leverage the real-time state of transportation networks to dynamically shape demand and promote...
This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) in the amount of $260,118 aims to advance the state-of-the-art in cyber-physical systems research for autonomous vehicle integration and highway safety. The project will develop new methods and tools to enable the safe and harmonious coordination of heterogeneous vehicles, including human-driven and automated vehicles of varying autonomy levels, on highways. Key research...
This $120,000 Project Grant was awarded on July 1, 2024 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Regents of the University of California at Riverside (UC Riverside). The funding will support a collaborative research project focused on enhancing the safety and reliability of autonomous driving systems through the development of advanced detection and countermeasure techniques at the application, system, and...
This $272,238 Project Grant, awarded on July 15, 2024 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to enhance the safety and reliability of autonomous vehicles. The project aims to identify vulnerabilities in the software and machine learning components of autonomous vehicle systems, and develop mitigation techniques to improve their overall resilience. The research will combine model-based and...
This Project Grant award of $400,000 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research by the Massachusetts Institute of Technology (MIT) to accelerate the design of controllers for large-scale engineering systems, with a focus on transportation applications. The key objectives are to bridge the gap between simulated cyber environments and real-world physical operations by leveraging extensive offline datasets and reinforcement learning...
This National Science Foundation (NSF) CAREER Award under the Engineering (CFDA 47.041) program provides $556,507 in funding to Embry-Riddle Aeronautical University from July 1, 2023 to June 30, 2028. The award supports fundamental research to investigate human driving behavior and interactions among traffic participants, with the goal of enabling technological advances in autonomous and connected vehicles. The research will leverage an immersive virtual reality driving simulator to conduct...
This National Science Foundation Project Grant award of $538,633 supports fundamental research in modeling stochastic traffic flows for smart mobility systems through February 2026. Funded under the Engineering program (CFDA 47.041), the award to the University of Maryland, College Park aims to develop machine learning and traffic flow theory to better estimate and predict mobility patterns. The grantee will fuse classical transportation models with learning techniques using transportation...