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.

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. 

SHF: Small: Collaborative Research: Fuzzing Cyber-Physical System Development Tool Chains with Deep Learning (DeepFuzz-CPS)

Developing a modern technical product such as a car, plane, or a complex medical device includes designing the complex interplay between sensors (which measure physical product and environment state) and actuators (such as small electric motors that control the product).

FMitF: Track II: Hybrid and Dynamical Systems Verification on the CPS-VO

This project aims to transition recent research results that automate portions of the verification process of Cyber-Physical Systems into broader practice, particularly with industrial and student users. Cyber-physical systems (CPS) are networked embedded computing systems coupled with physics, such as in motor vehicles, aircraft, medical devices, and the electrical grid.

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