The University of Illinois was awarded a three-year $290,358 project grant from the National Science Foundation's Engineering Directorate (CFDA 47.041) to maximize truck platooning participation through novel approaches accounting for preferences, inclusion, and privacy preservation. The university will establish a theoretical foundation for optimizing truck platoon formation considering individual truck preferences, inclusion of vehicles with varying origins/destinations, and data privacy....
This $350,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research on developing deep learning-based methodologies to automatically learn traffic dynamics, especially for traffic flow involving connected and automated vehicles (CAVs). The objective is to transform the conventional methods of studying traffic dynamics into an automated, data-driven paradigm enabled by the rapid advancement of artificial intelligence and the...
This $316,963 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research to enhance the safety and reliability of autonomous vehicles. The project aims to thoroughly examine and improve the controller and machine learning components of autonomous driving systems through a combination of model-based and data-driven approaches. The research will focus on identifying spatial and temporal vulnerabilities that...
This five-year, $673,782 National Science Foundation project grant in the Engineering program (CFDA 47.041) will fund research at Purdue University to develop a control-theoretic framework for modeling human cognitive state dynamics during human-automation interaction. The framework will define a human cognitive state space and characterize its dynamics in a model that can be used for control system design. A methodology will be created to estimate cognitive states and parameters in real time...
The National Science Foundation awarded a $1,000,000 Project Grant to the University of Wisconsin-Milwaukee under the Engineering (CFDA 47.041) federal grant program. The grant aims to support the "SCC-CIVIC-FA TRACK A: USER-CENTERED MOBILITY SOLUTIONS (UCMS): A NEW VISION TO CONNECT JOBS AND THE LABOR FORCE" project from Oct 1, 2021 to Sep 30, 2023. Under the award, the University of Wisconsin-Milwaukee will deliver a user-centered on-demand transportation service to connect workers...
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 $272,238 Project Grant, awarded on July 15, 2024 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to enhance the safety and reliability of autonomous vehicles. The project aims to identify vulnerabilities in the software and machine learning components of autonomous vehicle systems, and develop mitigation techniques to improve their overall resilience. The research will combine model-based and...
This National Science Foundation Project Grant of $2,090,572 will fund research at Georgia Tech Research Corporation from June 2022 to May 2025 to develop next-generation advanced driver assistance systems. The research aims to increase safety and performance of deep neural networks operating within feedback loops that include human drivers. Specifically, the grant will support research to utilize reinforcement learning and formal methods techniques to design systems that can accommodate...
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 (NSF) Early-Concept Grant for Exploratory Research (EAGER) award under the Engineering program (CFDA 47.041) will provide $150,000 to investigate whether removing obstacles to data regulation practices for auto insurance could improve road safety in the era of connected and automated vehicles. The research will involve developing a mathematical model to analyze the impact of information availability on insurance pricing, driver behavior, and accident probability,...
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 investigate information needs for remote operators and techniques to balance automated and remote control across multiple trucks. It will also address regulatory issues regarding operator compensation and technology adoption. Findings on expected changes to occupations, skills, and rural economies will inform workforce development needs for current and future truck drivers.