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 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) 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...
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 $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...
Vanderbilt University was awarded a $526,527 Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering federal grant program (CFDA 47.041). The grant will support research from September 2021 through April 2026 related to scheduling driving, sensing and control nodes in nonlinear networks with applications to fuel-free energy systems. As part of its mission, the NSF Directorate for Engineering seeks to foster innovation...
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...
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) awarded a $132,605 project grant under its Engineering program (CFDA 47.041) to the University of Southern California (USC) Department of Contracts and Grants. This grant will fund research to advance the state-of-the-art in connected and automated vehicle (CAV) systems through innovations in networking, sensing, and edge computing. The research team will develop an integrated platform that strategically aggregates wireless communication technologies,...
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...