Project Grant 2532262
- 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 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 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at Vanderbilt University to develop deep learning-based methodologies for modeling traffic dynamics, particularly with the inclusion of connected and automated vehicles (CAVs). The $149,998 project aims to transform the field by transitioning from conventional traffic studies to an automated, data-driven paradigm for discovering the governing equations of traffic flow. Key...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded a $400,000 project grant to the Massachusetts Institute of Technology (MIT) to accelerate the design of controllers for large-scale engineering systems, focusing on the application of artificial intelligence in transportation. The project aims to bridge the gap between simulated cyber environments and real-world physical operations by utilizing extensive offline datasets and offline reinforcement learning....
- The University of Illinois was awarded a $528,406 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) for the period of April 1, 2021 through March 31, 2026. The grant funds a research study combining experimental and theoretical approaches to examine human interactions with automated vehicles. As part of its mission to improve engineering research and education, the NSF Engineering program supports innovation through grants like this that investigate...
- The National Science Foundation (NSF), under the Engineering program (CFDA 47.041), awarded a $350,000 Project Grant to the University of Washington to support research on developing Deep Learning (DL)-based methodologies for discovering the governing equations of traffic dynamics and understanding the behavior and interactions of Connected and Automated Vehicles (CAVs) with other road users. The key objectives of this 3-year project are to transform the methods of learning traffic dynamics from...
- The National Science Foundation (NSF) awarded a $300,000 project grant under the Engineering program (CFDA 47.041) to the University of Louisville. The grant supports collaborative research to develop an integrated cognitive-emotional state assessment system to inform real-time adaptive automation interventions for advanced driving systems. The research aims to address limitations in current cognitive workload modeling by capturing multi-source physiological signals and context-dependent...
- This $316,963 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research to enhance the safety and reliability of autonomous vehicles. The project aims to thoroughly examine and improve the controller and machine learning components of autonomous driving systems through a combination of model-based and data-driven approaches. The research will focus on identifying spatial and temporal vulnerabilities that...
- This $1,499,949 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to enhance the safety of autonomous vehicle (AV) systems. The key focus areas include: Developing rational machine learning (ML) models that can accurately predict driving decisions based on valid rationales, rather than inappropriate extrapolations from common scenarios. Integrating hardware reliability into the...
- This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $200,000 in funding to Morgan State University for research related to a "Systems of Systems Approach for Safe and Energy Efficient Control of Humans, Vehicles, and Transportation Systems." The research aims to develop a new design paradigm for connected built environments that learns from human-autonomy collaboration using real autonomous driving scenes. Specifically, the...
The National Science Foundation (NSF) awarded a $700,000 Project Grant under the Engineering program (CFDA 47.041) to the University of Wisconsin-Madison to research bidirectional human-automation interactions in traffic environments. The 3-year project, running from September 2025 to August 2028, aims to improve the alignment between human driver preferences and autonomous vehicle (AV) behavior to enhance overall traffic flow and safety. The research will investigate how AVs can influence driver behavior to foster more efficient and stable traffic dynamics, as opposed to simply replicating human driving habits. The goal is to find an optimal balance where AVs guide driver behavior to improve traffic outcomes without sacrificing individual needs. The results of this research could lead to improvements in national mobility, safety, and economic competitiveness.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $700.0k | 8/20/25 |