Project Home Page

Welcome

Welcome to the UT Flow Project home page for using autonomous vehicles to reduce traffic congestion. We are in the Learning Agents Research Group, which is part of the AI Laboratory in the Department of Computer Sciences at the University of Texas at Austin. This project is a collaboration with General Motors R&D Labs, and is based on the Flow project developed in UC Berkeley.

Project Description

Traffic congestion is a major challenge in modern urban settings. The industry-wide development of autonomous and automated vehicles (AVs) motivates the question of how can AVs contribute to congestion reduction. Past research has shown that in small scale mixed traffic scenarios with both AVs and human-driven vehicles, a small fraction of AVs executing a controlled multiagent driving policy can mitigate congestion. In this research the goal is to scale up existing approaches, and develop new multiagent driving policies for AVs to reduce traffic congestion in scenarios with greater complexity and realism than have been solved in the past. .

We make the following contributions: 


Selected Project Publications