Cooperative Agreement 2220811
- 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 federal Project Grant award, with a total funding amount of $199,999, was provided by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CFDA 47.070) program. The award supports the development of an "Interaction-Aware Management Framework to Improve the Efficiency and Sustainability of Electric Transportation and Power Systems." The key products and services to be delivered through this 3-year project (01/01/2025 - 12/31/2027)...
- This National Science Foundation (NSF) Project Grant from the Computer and Information Science and Engineering (CFDA 47.070) program provides $300,000 over 3 years to CAL Poly Pomona Foundation Inc., a nonprofit organization supporting California State Polytechnic University, Pomona. The project aims to develop advanced artificial intelligence and machine learning algorithms for optimal management of electric vehicle transactions with the power grid. Key deliverables include: A scalable,...
- This Project Grant award of $150,000 from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports the development of advanced artificial intelligence and machine learning algorithms to optimize the management of electric vehicle transactions with the power grid. The key products and services to be delivered under this award include: A hierarchical forecasting framework using cellular computational...
- 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 Project Grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to address interrelated planning, operational, and managerial challenges in transitioning public bus fleets to electric vehicles. The $200,000 award to George Mason University, along with potential sub-awards, will fund the development of a suite of intelligent decision support tools called the CREATE (Community-Responsive...
- The National Science Foundation (NSF) awarded a $274,048 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Innotech Systems LLC to develop a high-precision, automated docking solution for charging electric vehicles, robots, and drones in adverse weather conditions. The goals of the 1-year project are to: 1) establish that multi-path signal characteristics can identify vehicle locations for docking, 2) develop models for simulating and verifying the...
- This $999,977 Cooperative Agreement award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships program) will enable Ocean Motion Technologies Inc., a minority-owned small disadvantaged business, to develop an artificial intelligence system that optimizes energy capture from ocean wave energy devices. The key innovation is a system for training and fine-tuning AI models to the specific wave environments where the devices are deployed, which can increase...
- This $449,943 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a collaborative research project titled "Planning for Electric Vehicle Charging Infrastructure - Strengthening American Infrastructure (SAI)." The project, led by New York University (NYU), aims to understand the broader social and economic impacts of electric vehicle charging station (EVCS) placement on community mobility, social...
- This EAGER (Early-concept Grants for Exploratory Research) project, funded by the National Science Foundation (NSF) Engineering program (CFDA 47.041), will advance system designs, models, and algorithms for state-aware demand control to enhance shared use of emerging autonomous mobility systems. The $150,000 award, effective May 1, 2025 through April 30, 2026, will support research at the University of California, Berkeley to address challenges in managing congestion and maximizing...
The National Science Foundation awarded Av-Connect, Inc. a $999,339 cooperative agreement under the Technology, Innovation, and Partnerships program (CFDA 47.084) to develop an Internet-of-Things platform and artificial intelligence software to optimize zero-emission vehicle fleet operations for public transit agencies. Specifically, the award will support research and validation of predictive vehicle energy models and fleet optimization algorithms. The models and algorithms aim to accurately forecast charge usage for transit agency electric buses and vans, which have variable loads and battery performance. Pilot demonstrations with transit agency partners will validate model accuracy. Recommendations from the scalable optimization software seek to substantially increase zero-emission vehicle fleet utilization and reduce operating costs for transit agencies working to decarbonize transportation. The work will be performed in Berkeley, California from April 2023 through March 2025.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $999.3k | 4/7/23 |