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A Platform for Evaluating Autonomous Intersection Management Policies Chien-Liang Fok, Maykel Hanna, Seth Gee, Tsz-Chiu Au,
 

Summary: A Platform for Evaluating Autonomous Intersection Management Policies
Chien-Liang Fok, Maykel Hanna, Seth Gee, Tsz-Chiu Au,
Peter Stone, Christine Julien, and Sriram Vishwanath
University of Texas at Austin
{liangfok,michael.jean,seth.gee,c.julien,theory}@mail.utexas.edu, {chiu, pstone}@cs.utexas.edu
Abstract--There is a significant push towards greater vehic-
ular autonomy on roads to increase convenience and improve
overall driver experience. To enable this autonomy, it is imper-
ative that cyber-physical infrastructure be deployed to enable
efficient control and communication. An essential component
of such road instrumentation is intersection management.
This paper develops an intersection management platform
that provides the sensing and communication infrastructure
needed to enable efficient intersection management policies.
The testbed, located in a indoor laboratory, consists of an
intersection and multiple robotic vehicles that can sense and
communicate. Whereas traditional approaches to intersection
management rely on simulations, this testbed enables the first
realistic evaluation of several intersection management policies.
Six simple but practical centralized and distributed policies

  

Source: Au, Tsz-Chiu - Department of Computer Sciences, University of Texas at Austin

 

Collections: Computer Technologies and Information Sciences