This $175,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research at Texas Tech University from April 2022 to March 2024 related to developing novel modeling, control, and optimization methods for connected and automated vehicles. The research aims to improve the efficiency and sustainability of urban transportation systems while respecting individual driver behaviors and social norms. It focuses on characterizing human driving behaviors, quantifying the impacts of various behaviors on transportation system efficiency when interacting with connected and automated vehicles, and designing a socially compliant control scheme for minimizing energy use and emissions of human-centric connected and automated vehicles. The university will implement a progressive development, validation, and testing plan using high-fidelity simulation and in-field experiments. Outcomes are expected to yield formal methods applicable to broader data-enriched modeling, control, and optimization of human-centric cyber-physical systems.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $175.0k | 2/3/22 |