Project Grant 2401007
- 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) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will support research to establish a framework for designing and implementing safe learning-enabled systems. The $399,965 award to Cornell University, with a period of performance from October 1, 2024 to September 30, 2027, aims to develop methods for ensuring the safety of learning-enabled systems, even in complex operating environments,...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded a $400,000 project grant to the Massachusetts Institute of Technology (MIT) to accelerate the design of controllers for large-scale engineering systems, focusing on the application of artificial intelligence in transportation. 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....
- This is a Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) to Cornell University, totaling $459,202 and awarded on August 1, 2025. The project aims to develop a transformative co-design of distributed learning algorithms and wireless network designs, integrating system-aware learning and system-learning co-designs. Specifically, the project will pursue: 1) resource-efficient distributed learning algorithms that account for user mobility and...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $480,000 to New York University (NYU) to develop a data-driven travel-demand management framework for integrated parking-management and ridesharing cyber-physical systems (CPS). The project aims to mitigate urban traffic congestion and enhance mobility through non-pricing mechanisms that coordinate parking access and peer-to-peer carpooling programs....
- This National Science Foundation (NSF) Project Grant award under CFDA Program 47.041 (Engineering) provides $272,546 to support research on multimodal transit services that combine fixed-route public transit with shared mobility options. The objective is to develop an optimization framework that accounts for user behavior, systematic uncertainties, and the inherent complexity of different transportation modes. The research aims to (i) advance theories and computations in transportation and...
- This $150,000 federal Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop and deploy low-cost, battery-powered smart cameras to democratize urban mobility data acquisition, especially in underserved communities. The research will focus on creating new control and perception algorithms to efficiently operate these smart cameras within battery and computational constraints. Key project elements...
- This $500,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support research on "Endogenous Information Design" conducted by the University of Colorado Colorado Springs (UCCS). The project aims to develop new theoretical models and mathematical tools for analyzing situations where human behavior affects the state of the world, which in turn changes the information that can be shared. This is relevant to various "smart...
- 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 $199,933 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop an interaction-aware management framework to improve the efficiency and sustainability of electric vehicle (EV) transportation systems and power grids. The key components of the project include: A multi-agent reinforcement learning control model for power systems to dynamically adjust electricity prices and...
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 bandit algorithms to optimize travel demand, mode selection, and routing across transportation networks. The 21-month project aims to enhance understanding of rebound effects, travel demand changes, and human adoption of emerging mobility options like connected and automated vehicles, shared mobility, etc. The outcome will be an online learning system to distribute travel demand in a socially-optimal way that achieves efficiency, avoids rebound issues, and ensures equity.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $175.8k | 10/18/23 |