Welcome

Welcome to the home page for the Autonomous Intersection Management project. 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.

Project Description

This project "AIM"s to create a scalable, safe, and efficient multiagent framework for managing autonomous vehicles at intersections.

Intelligent vehicle technology is progressing very rapidly and recent advances suggest that autonomous vehicle navigation will be possible in the near future. At modern-day intersections, traffic lights and stop signs assist human drivers in conducting their vehicles safely through the cross traffic. However, in the future, with computers "behind the wheel", will it make sense to have intersection control mechanisms that were designed with today's human drivers in mind? With all the advantages computerized drivers offer - more precise control, better sensors, and quicker reaction times - we believe automobile travel can be made not only safer and easier, but much more efficient.

Project Members

Collaborators

Past Members

Resources for Visitors

The AIM4 Simulator

Selected Project Publications

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