This National Science Foundation project grant of $799,986 will support research into developing an online learning framework for emerging mobility systems through June 2025. Funded under the Computer and Information Science and Engineering program, the Trustees of Boston University will consolidate real-world transportation data to establish approaches for optimally controlling cyber-physical systems. Researchers will merge learning and control methods to enhance accessibility, safety, and...
The National Science Foundation (NSF) Engineering program awarded a $562,234 Faculty Early Career Development (CAREER) grant to the University of California, Berkeley to conduct research on new models and algorithms for dynamic allocation of resources in applications such as shared mobility, battery swapping for electric vehicles, and online advertising. The 5-year project aims to develop practical algorithmic solutions that can accommodate complex features, objectives, and constraints in...
The Massachusetts Institute of Technology (MIT) received a $800,000 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support the development of an online learning framework to optimize transportation systems as emerging mobility options like connected and automated vehicles alter travel demand and efficiency. Specifically, MIT...
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) 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 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 $547,447 National Science Foundation project grant supports research at Northwestern University toward developing an integrative machine learning approach for traffic management. The three-year award, issued on September 1, 2022 under the Engineering program (CFDA 47.041), will create and test hybrid machine learning methods tailored for transportation domain problems involving hierarchical optimization of ridesharing and traffic flows. The grantee will introduce a novel framework combining...
This National Science Foundation (NSF) Project Grant under CFDA Program 47.041 - Engineering, awarded to the University of Texas at Austin, focuses on optimizing the value of information within heterogeneous multi-agent transportation systems. The $183,313 award supports research to develop a unified modeling framework for information provisioning, considering the adaptive behavior of different traffic components and the impacts on system efficiency, reliability, and resilience. The project...
The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $203,000 Project Grant to the University of California, San Diego (UCSD) under the NSF Engineering program (CFDA 47.041). The grant will fund a collaborative research project that aims to develop a new data-driven model-free control and optimization framework to enable efficient, robust, and safe coordination of connected and automated vehicles in mixed traffic systems with human-driven...
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...