Project Grant 2311159
Award Date
7/1/23
Completion Date
6/30/26
Dollars Obligated
$400K
Federal Agency
Division of Civil, Mechanical, and Manufacturing Innovation
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Atlanta, GA 30332, USA
Similar Awards
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 $249,358 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research by Amherst College on non-local microscopic and macroscopic traffic flow models. The investigator will construct and analyze multi-scale non-local mathematical models to more accurately capture driver behavior by integrating downstream information, compared to traditional local traffic flow models. The project aims to perform mathematical...
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...
The National Science Foundation (NSF) awarded a Project Grant of $113,069 to the University of Tennessee, operating as Univ Tennessee System Office, under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). This grant aims to develop effective and efficient methods for reconstructing city-scale traffic dynamics using mobile data. Specifically, the project will: Estimate travel times and other macroscopic traffic states (speed, flow, density) from...
This National Science Foundation (NSF) Faculty Early Career Development (CAREER) Project Grant awarded by the NSF Division of Civil, Mechanical, and Manufacturing Innovation aims to leverage artificial intelligence and individual vehicle trajectory data to develop novel traffic control strategies that can improve the efficiency of transportation infrastructure. The $518,552 award, made on May 1, 2025, will fund research to: (1) identify individual vehicle driving signatures from time-series...
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 $600,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) will support a collaborative research effort to accelerate the design of controllers for large-scale engineering systems, with a focus on transportation applications. The project aims to bridge the gap between simulated cyber environments and real-world physical operations by utilizing extensive offline datasets and offline reinforcement...
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 $318,590 Project Grant awarded by the National Science Foundation (NSF) Engineering Program (CFDA 47.041) supports research and development at the Georgia Tech Research Corporation aimed at advancing computational models and algorithms for distributed constrained optimization in complex multi-agent networks. The key objectives are to: (i) develop an enhanced mathematical modeling framework utilizing variational inequality theory; (ii) design and analyze new iteratively regularized...