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 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 $350,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research on developing deep learning-based methodologies to automatically learn traffic dynamics, especially for traffic flow involving connected and automated vehicles (CAVs). The objective is to transform the conventional methods of studying traffic dynamics into an automated, data-driven paradigm enabled by the rapid advancement of artificial intelligence and the...
This $500,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund research by the University of Colorado Colorado Springs (UCCS) to develop new theoretical models and mathematical tools for analyzing "endogenous information design" - how information sharing can strategically influence behavior in systems where behavior affects the state of the world. The project aims to extend classical Bayesian game theory to capture the...
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 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $199,760.00 to Wright State University to conduct research aimed at advancing intelligent transportation systems. The project intends to develop a cooperative perception framework that aggregates data from a selected subset of cameras to build a comprehensive map of traffic conditions, minimizing data requirements while maximizing situational awareness. Additionally, the research will...
This Project Grant award from the National Science Foundation (NSF) under CFDA Program 47.041 - Engineering, aims to support research on developing deep learning (DL)-based methodologies for discovering the governing equations of traffic dynamics and understanding how connected and automated vehicles (CAVs) behave and interact with other road users. With a total funding of $149,998 over the performance period from May 1, 2025 to April 30, 2028, the project will transform the approach to learning...
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...
This National Science Foundation Project Grant award under the Engineering program (CFDA 47.041) will investigate the emergence, mechanisms, and applications of "collective rationality" among self-interested agents in the design of mixed autonomy networks and infrastructure systems. The $145,305 award, effective from September 1, 2024 to August 31, 2026, will be executed by the University of California, Davis. The research will explore how cooperative behaviors can spontaneously...
This National Science Foundation (NSF) Early-Concept Grants for Exploratory Research (EAGER) Project Grant award of $150,000, granted on May 1, 2025, will fund research at the University of California, Berkeley to develop novel system designs, models, and algorithms for state-aware demand control to enhance shared use of emerging autonomous mobility systems. The research project aims to leverage the real-time state of transportation networks to dynamically shape demand, incorporating evolving...