This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund research by the Regents of the University of Minnesota that leverages artificial intelligence to improve the efficiency of transportation control infrastructure. The $518,552 award, effective May 1, 2025 through April 30, 2030, aims to develop methods for rapidly identifying individual vehicle driving signatures, create an AI-guided modeling framework for predicting aggregate traffic...
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 $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...
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 $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...
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 National Science Foundation (NSF) Project Grant award under CFDA 47.041 "Engineering" program provides $450,000 in funding to The Trustees of Princeton University to develop a novel "Multi-Attribute Urban Sensing Technology (MUST)" platform. The key products and services to be delivered include: A prototype vehicle-mounted multi-sensor system integrating 360-degree cameras, high-resolution LiDAR, GPS, and innovative environmental/air pollution sensors to collect granular...
This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support a collaborative research effort at Vanderbilt University to accelerate the design of controllers for large-scale transportation systems. 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 methods....
The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded Northwestern University a $457,459 Project Grant under the Engineering (47.041) federal grant program. The grant will support the development of a fine-scale climate and air quality analysis framework to assess neighborhood-scale air quality co-benefits and tradeoffs of transportation electrification strategies. Specifically, the University will create emission scenarios...
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...