This National Science Foundation (NSF) project grant under the Engineering program (CFDA 47.041) will provide $200,000 in funding from June 1, 2024 to May 31, 2026 to The Regents of the University of Colorado to conduct research on "Information Management Policies for Secure Resource Allocation." The project will investigate how to maximize the security of critical societal infrastructure systems, such as power grids and transportation networks, through strategic management and control...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $183,313 to the University of Texas at Austin supports research to optimize information value in heterogeneous multi-agent transportation systems. The project will develop a unified modeling framework to study how different traffic components, such as cars, autonomous and connected vehicles, buses, and bicycles, adaptively respond to evolving information updates. It will explore the limits of positive...
The National Science Foundation (NSF) awarded a $519,991 Faculty Early Career Development (CAREER) Project Grant under the Engineering program (CFDA 47.041) to the University of Illinois. This 5-year project will develop new transportation system models that account for the discontinuous behavior of transportation services when pricing is introduced or removed, such as the impact on bus boarding times. The research will investigate optimal transportation system design and pricing policies,...
The National Science Foundation (NSF) awarded a $360,000 Project Grant to the University of Illinois under the Engineering Program (CFDA 47.041) to support fundamental research and development on incentive design mechanisms. The 3-year project, commencing on September 1, 2024, aims to advance the theory of incentive design by removing stringent assumptions that limit its practical application. The research will explore how agents can learn each other's preferences, how behavioral traits...
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 (NSF) Engineering (CFDA 47.041) Project Grant award of $367,616 to the University of California, Davis (UC Davis) will fund research to establish a theoretical framework for evaluating and optimizing data acquisition in transportation networks. The research project aims to quantify the value of data from various sources to help transportation network operators, such as the California Department of Transportation, make more informed decisions about which data to...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will promote progress in data science to support smart transportation systems. The funding of $317,374 over 3 years, starting on October 1, 2024, will establish a theoretical framework for quantifying the value of data from various sources in a transportation network. The project aims to: 1) quantify how changes in data affect estimates of network performance metrics to identify important data...
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...
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...
This Project Grant award from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation, under the Engineering program (CFDA 47.041), will provide $400,329 to the Georgia Tech Research Corporation to explore the application of tools and methods from complexity science to better understand and control urban congestion. The research aims to develop a framework for describing and modeling traffic flow systems, incorporating elements from traffic flow...