Project Grant 2213149
- This Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $998,234 to Connect Dynamics, Inc., a minority-owned small disadvantaged business located in Bentonville, Arkansas. The funding supports the implementation and validation of a machine learning-based software module to enhance long-haul freight trucking operations through a relay system model. The key objectives are to: 1) integrate...
- 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...
- This $250,045 National Science Foundation project grant under the Engineering program (CFDA 47.041) will fund research at the University of Wisconsin-Madison on developing technologies and policies to enable remote operation of long-distance trucks. The research team will develop data-driven systems to continuously monitor challenging traffic conditions for remote operators. They will also develop safety filters mediating commands between autonomous systems and remote operators. The project will...
- This $172,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of machine learning models and optimization algorithms for improving disaster response logistics. The primary objectives of the project are to: Research existing machine learning models for clustering regions and develop an enhanced K-means++ clustering model with improved time complexity. Develop a novel...
- 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 $174,734 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant, awarded to South Dakota State University on August 1, 2024, will develop novel machine learning and graph mining techniques to better understand and predict the cascading impacts of traffic incidents on transportation networks. The project aims to create interpretable models that can forecast the spatiotemporal effects of traffic events, enabling more efficient resource...
- 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 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...
- The National Science Foundation awarded a $806,380 Project Grant to the Georgia Tech Research Corporation to support research titled "CAREER: Marketplace Design for Freight Transportation and Logistics Platforms" from January 15, 2022 through December 31, 2026. The grant is part of NSF's Engineering program (CFDA 47.041), which seeks to improve quality of life and economic strength through engineering research and education that enables innovation. Under this award, the Georgia Tech...
- Infrastructure Analytics Company received a $256,000 Small Business Innovation Research Phase I Project Grant from the National Science Foundation under the Engineering program (CFDA 47.041) to develop infrastructure-to-everything (I2X) communication technology for autonomous and connected vehicle support. The grant period runs from July 1, 2021 through June 30, 2022. Under this award, Infrastructure Analytics Company will leverage its expertise in transportation infrastructure and vehicle...
Connect Dynamics, Inc. was awarded a $255,983 Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program (CFDA 47.084) on September 15, 2022 to develop a machine learning-based predictive analytics tool. The tool aims to integrate with the awardee's patented relay scheduling algorithms to effectively estimate the likelihood of disruption events in trucking operations and provide mitigation strategies. The goal is to create resilient algorithms necessary to commercialize the first scalable relay trucking model in the U.S. The awardee will leverage proprietary operational data and publicly available sources to build artificially populated datasets representing drivers and equipment at relay nodes. If successful, the project's machine learning tool could help implement a more sustainable and profitable trucking industry with reduced emissions through increased asset utilization and shorter delivery times.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $256.0k | 9/7/22 |