Project Grant 2130734
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $217,276 project grant to The University of North Carolina at Charlotte to support research titled "COLLABORATIVE RESEARCH: LEARNING-BASED SCALABLE PREDICTIVE CONTROL STRATEGIES FOR HETEROGENEOUS TRAFFIC NETWORKS." The two-year project beginning January 1, 2022 falls under the NSF Engineering Program (CFDA #47.041), which aims to improve quality of life and economic strength through...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $212,099 Project Grant to the Illinois Institute of Technology from January 1, 2022 to December 31, 2024. The grant supports collaborative research on learning-based scalable predictive control strategies for heterogeneous traffic networks under the NSF Engineering program (CFDA 47.041). The research aims to develop scalable predictive control methods to optimize traffic flow across diverse...
- The Regents of the University of California, Berkeley, received a $809,738 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations to support research titled "COLLABORATIVE RESEARCH: CPS: MEDIUM: POPULATION GAMES FOR CYBER-PHYSICAL SYSTEMS: NEW THEORY WITH TOOLS FOR TRANSPORTATION MANAGEMENT UNDER EXTREME DEMAND." The period of performance for this research is from January 1, 2022 to December 31, 2024. The grant is part of the...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) project grant award of $550,000, effective March 1, 2024 through February 28, 2026, aims to develop vehicle technologies that can improve traffic flow and reduce energy use by allowing automated vehicles to dynamically adjust their speeds based on real-time traffic conditions. The project will create a system to automatically detect and filter out erroneous traffic information to enable the safe...
- 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...
- 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...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded a $500,000 Project Grant to the University of California, Berkeley to support research titled "CAREER: EFFICIENT COMPUTATIONAL METHODS FOR NONLINEAR OPTIMIZATION AND MACHINE LEARNING PROBLEMS WITH APPLICATIONS TO POWER SYSTEMS" from January 15, 2021 through December 31, 2025. The grant funding will support the development of efficient computational methods for solving nonlinear optimization...
- This EAGER (Early-Concept Grants for Exploratory Research) award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $150,000 to conduct research on advancing system designs, models, and algorithms for state-aware demand control to enhance shared use of emerging autonomous mobility systems. The research aims to leverage real-time network data and vehicle/rider trajectories to dynamically shape demand and scale ride-pooling operations, with potential applications...
- The University of California, San Diego received a $274,698 Project Grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The grant funds the research project "COLLABORATIVE RESEARCH: THE VALUE OF INFORMATION IN NETWORKED CONTROL: A UTILITY BASED APPROACH" from September 1, 2021 through August 31, 2024. The project aims to improve understanding of the value of information in networked control systems using a utility-based approach....
- 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...
The University of California, Berkeley received a $276,684 project grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems to support research titled "COLLABORATIVE RESEARCH: LEARNING-BASED SCALABLE PREDICTIVE CONTROL STRATEGIES FOR HETEROGENEOUS TRAFFIC NETWORKS." The research aims to develop learning-based predictive control strategies for heterogeneous traffic networks and will be conducted from January 1, 2022 to December 31, 2024. The project falls under the NSF Directorate for Engineering's $47.041 Engineering program, which seeks to improve quality of life and economic strength through innovative engineering research and education. The grant will support UC Berkeley researchers in conducting collaborative research that applies machine learning techniques to optimize traffic flow across diverse transportation networks.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $276.7k | 8/10/21 |