TDOT RDS Data Quality Assurance and High-Resolution Content Enhancement

The project focuses on addressing data quality and integrity challenges in the use of roadside radar detector data, the primary source of fixed sensor traffic data in Tennessee. The project aims to standardize sensor configurations, audit data quality, and establish a robust framework for roadside radar data utilization.

2024 Cyber Physical Systems (CPS) Principal Investigators (PI) Meeting

The primary objective of this project was to manage and oversee the logistical aspects encompassing the pre-meeting, meeting, and post-meeting activities for the thirteenth NSF CPS PI Meeting, which took place from March 20-21, 2024, with participants arriving on March 19, 2024, at Vanderbilt University. This marked a significant departure as it was the first time the meeting was hosted on a college campus and outside the Washington, DC Metropolitan area since its inception in 2009. A key rationale for this move was to control expenses.

2022 Cyber-Physical Systems Principal Investigators' Meeting

The major goal of the twelfth CPS PI Meeting held Monday, November 7 (arrival night) – Tuesday, November 8 & Wednesday, November 9, 2022 (meeting days) at the Crystal Gateway Marriott in Arlington, Virginia, was to organize the end-to-end planning, organization, and execution of the meeting. 

Microgrid Control/Coordination Co-Design (MicroC3)

UC3Today’s microgrids are one-off configurations of commercially available equipment and some custom software that implements some microgrid control functions, as well as integrates the components.

Scalable Cyber-Physical Simulation for Automated Cyber Agent Training

Modern cyber-physical systems (CPS) are highly complex systems-of-systems, in which understanding the breadth and severity of cyberattacks is highly challenging. As cyberattacks and defensive operations become increasingly automated, there is a greater need to understand the complexities of interactions between the cyber and physical worlds. A scalable, detailed simulation platform will provide a means of developing and evaluating automated techniques within these complex systems.

CPS: TTP Option: Medium: Collaborative Research: Smoothing Traffic via Energy-efficient Autonomous Driving (STEAD)

Studies show five of the top 10 most-gridlocked cities in the world are in the United States. Traffic congestion puts undue burden on transportation systems across the United States, raising transportation costs and the energy footprint. Vehicle automation creates an opportunity to reduce traffic and improve efficiency of the transportation infrastructure.

Collaborative Research: CPS: TTP Option: Medium: Coordinating Actors via Learning for Lagrangian Systems (CALLS)

This project will improve the ability to build artificial intelligence algorithms for Cyber-Physical Systems (CPS) that incorporate communications technologies by developing methods of learning from simulation environments. The specific application area is connected and automated vehicles (CAV) that drive strategically to reduce stop-and-go traffic. 

CIRCLES: Congestion Impact Reduction via CAV-in-the-loop Lagrangian Energy Smoothing

The CIRCLES Website https://circles-consortium.github.io contains more detailed information on this project. 

Understandable and Reusable Formal Verification for Cyber-Physical Systems

PIRE: Science of Design for Societal-Scale Cyber-Physical Systems

This project aims to develop a new Science of Design for societal-scale Cyber- Physical Systems (CPS).

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