Project Grant 2502825
- 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...
- 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...
- 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...
- 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...
- The National Science Foundation (NSF) awarded a $477,845 Project Grant under the Engineering program (CFDA 47.041) to the University of Wisconsin System to support research on enhancing the operation of autonomous vehicle (AV) swarms in diverse traffic environments. The key objectives are to: 1) examine the "tragedy of the commons" phenomenon where AVs may cause traffic disruption despite individual AV performance, and 2) incorporate "emergent cooperative behavior" like human...
- This $175,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research at Texas Tech University from April 2022 to March 2024 related to developing novel modeling, control, and optimization methods for connected and automated vehicles. The research aims to improve the efficiency and sustainability of urban transportation systems while respecting individual...
- This federal Project Grant award of $260,118, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, supports collaborative research to enhance the safety and harmonious coordination of highway vehicles with varying levels of human and automated driving capabilities. The project aims to create new methods and tools to enable the safe integration of a diverse mix of human-driven and autonomous vehicles (Levels 1-5) on shared...
- This $572,778 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award will support research and development at North Carolina State University (NC State) to address fundamental challenges in simulation-based testing of autonomous driving systems (ADS). The key objectives are to: 1) Improve the efficiency and effectiveness of simulation-based ADS testing by leveraging...
- 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 National Science Foundation (NSF) awarded a $496,698 Project Grant under its Integrative Activities program (CFDA 47.083) to North Carolina Agricultural and Technical State University (NC A&T) to advance autonomous intersection management through scheduling-based metaheuristic optimization. The project, titled "EXCELLENCE IN RESEARCH: METACROSS: ADVANCING AUTONOMOUS MULTILANE INTERSECTION MANAGEMENT THROUGH SCHEDULING-BASED METAHEURISTIC OPTIMIZATION," aims to replace traditional traffic controls like stoplights with computer systems that help connected and automated vehicles (CAVs) move more safely and efficiently through intersections. The work will develop new algorithms to enable the Autonomous Intersection Manager (AIM) system to make rapid decisions to avoid collisions and improve traffic flow, even with complex and changing traffic patterns. In parallel, the project will engage students in hands-on research and provide outreach to K-12 educators and students to broaden participation in STEM disciplines. The project period is from September 1, 2025 to August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $496.7k | 7/30/25 |