Project Grant 2523563
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program awarded a $709,472 Project Grant to the University of Puerto Rico's Research and Development Center Division to develop a data-driven travel-demand management framework for an integrated parking-management and ridesharing cyber-physical system (CPS). The CPS aims to mitigate traffic congestion and enhance mobility in congested urban areas by jointly coordinating parking access...
- This $175,822 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports Cornell University in developing an online learning framework for socially emerging mixed mobility systems. The goal is to create an equitable transportation system that improves safety, efficiency, and traveler acceptance by merging learning and control approaches. The framework will use mechanism design theory and contextual...
- This EAGER (Early-Concept Grants for Exploratory Research) project, awarded by the National Science Foundation (CFDA 47.041 - Engineering), will fund research to advance system designs, models, and algorithms for state-aware demand control. The goal is to significantly enhance the shared use of emerging autonomous mobility systems, such as robotaxis, robovans, and urban air mobility, which have the potential to reshape future cities and transform urban transportation. The $150,000 award, with...
- 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...
- 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 Project Grant award of $599,672.00, issued on January 1, 2026 by the National Science Foundation's Engineering program (CFDA 47.041), supports research at Rensselaer Polytechnic Institute to develop computational methods for managing nonequilibrium traffic conditions in connected transportation networks. The objective is to integrate quantum computing and machine learning techniques to enhance the ability to predict, respond to, and mitigate disruptions such as accidents, infrastructure...
- 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 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program provides $250,000 to the University of Washington to develop a smart curbside parking management system. The key products and services to be delivered under this 18-month project include: AI models and algorithms to accurately read, locate, and track curbside parking signs, detect open parking spots, and monitor curbside parking occupancy using street video data...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $200,000 to Morgan State University to conduct research on a system of systems approach for human-autonomy collaboration in intelligent transportation systems. The research will focus on integrating real-world driving data with sensing infrastructure to understand traffic dynamics and develop accurate modeling for intelligent traffic and vehicle control strategies. The goal is to improve...
- 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 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $480,000 in funding to New York University (NYU) for the development of a data-driven travel demand management framework. The framework will integrate parking management and ridesharing cyber-physical systems to mitigate traffic congestion and enhance mobility in urban areas. The project aims to implement optimization models that coordinate parking access and collaborative peer-to-peer carpooling, leveraging user incentives and personal affinity measures. The award has an initial term of 3 years, from October 1, 2025 to September 30, 2028. The proposed system seeks to alleviate congestion and improve access to opportunities through innovative non-pricing approaches, with a focus on auto-dependent communities with limited transit options.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $480.0k | 7/31/25 |