Project Grant 2437781

Award Date 9/1/24
Completion Date 8/31/26
Dollars Obligated $300K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Minneapolis, MN 55455, USA
Similar Awards
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 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) Engineering program (CFDA 47.041) award of $500,000 to the University of Colorado Colorado Springs (UCCS) aims to develop new theoretical models and mathematical tools for analyzing "endogenous information design" problems. These are situations where the state of the world depends on human behavior, creating complex challenges for decision-makers in systems like transportation networks, public safety, and smart technologies. The project will apply...
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 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 $200,000 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) to Vanderbilt University aims to accelerate the design of controllers for large-scale engineering systems, with a focus on artificial intelligence applications in transportation. The project will leverage extensive offline datasets and offline reinforcement learning to bridge the gap between simulated cyber environments and real-world physical operations, enabling the development of...
This National Science Foundation (NSF) EAGER Project Grant (CFDA 47.041 - Engineering) awarded to Washington State University will investigate the emergence, mechanisms, and applications of "collective rationality" (CR) among self-interested agents in the design of mixed autonomy networks and infrastructure systems. The $154,063 award, spanning September 2024 to August 2026, will explore how strategic agent behaviors and cooperation in mixed traffic environments can lead to...
This $452,155 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports a Faculty Early Career Development (CAREER) project at the University of Texas at Austin. The project aims to enhance the sustainability and resilience of transportation and power systems in response to the rapid deployment of electric vehicles and clean energy. The research will advance the understanding of decentralized optimization mechanisms for system-level planning and...
This five-year, $549,037 National Science Foundation Project Grant supports research at the University of Michigan-Dearborn to develop a framework for studying driver-bicyclist interactions and improve bicycling safety. Funded through NSF's Engineering Directorate under the CFDA 47.041 program, this early career faculty award will address gaps in understanding how drivers and bicyclists interact on roadways. Key products include observational studies using naturalistic driving, cycling and drone...

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 used in practice. By studying differences between widely accepted traffic flow models and actual public vehicle trajectory data, the researchers aim to determine the important traffic characteristics to consider for different types of traffic controls. This will help validate the effectiveness of existing traffic controls or lead to new traffic flow models that better incorporate relevant traffic behaviors. The results of this project are expected to provide a tighter connection between research and practitioners, ultimately leading to reduced traffic congestion and lower travel times for the public.

Generated 5/13/25, 3:19 AM