Highlights! 

• Check out our ACC Initiatives:  see our ACC experiments, the data sharing, webinars, tools, and materials

• Check out our self-driving analysis site: see our analysis on self-driving cars (e.g., Waymo cars), the processed data shared, products, and results.

Experimental Studies of Automated Vehicles

In this branch, we conduct our own experiments or use empirical high-resolution trajectories shared by others to study the driving behaviors of automated vehicles (AVs), such as car-following, lane-changing, and platoon dynamics.  This will allow us to understand the impacts of AVs on traffic flow, roadway capacity, safety, environment, etc.

• Adaptive Cruise Control (Level 2 automation) -- Check out our ACC Initiatives

• Self-driving vehicles (Level 4 automation) -- Check out our self-driving analysis site

• Design and testing of traffic-aware AV controllers for proactive and cooperative driving

Modeling of Mixed Traffic 

In this branch, we focus on mixed traffic consisting of automated vehicles (may come from different control paradigms), connected vehicles, and human-driven vehicles.  We are interested in understanding their tactical-level behaviors and their impacts on the traffic flow. 

• Tactical-level behaviors of AVs from different control paradigms (e.g., linear controller, model predictive control, and AI-based controller).

• Interaction of different types of AVs and human-driven vehicles

• Development of traffic disturbances in mixed traffic 

• Platooning

Human-Cyber-Physical Systems (H-CPS) of CAVs 

In this branch, we are interested in the H-CPS of CAVs, with particular interests in how human interact with automated vehicles.  We investigate the problems from multiple scales, spanning from agent level (e.g., a single user) to system level (e.g., the collective traffic stream).  We integrate field experiments, simulator experiments, and analytical formulation to study the complex interactions, aiming to understand the behavioral mechanisms and extract insights to make human-automation safer, more effective, and more equitable. 

• Dynamic process of intent communication, perception, decision, and motion control

• Decision-making in driving cooperation

• Agent behaviors and collective traffic stream dynamics

• Cooperation strategies