Speaker
Tsz-Chiu Au (Assistant Professor, UNIST)
Time & Location
Mar. 18 (Fri) 14:00 / Building 133 Room 316
Abstract
Recent robot car competitions and demonstrations have convincingly shown that fully autonomous vehicles are feasible with current or near future intelligent vehicle technology. This milestone offers us an opportunity to reconsider modern transportation infrastructure, investigating more efficient systems that leverage a mostly autonomous vehicle population. Previous research on autonomous intersection management establishes that by leveraging the capacities of autonomous vehicles it is possible to dramatically reduce the time wasted in traffic, and therefore also fuel consumption and air pollution. In this talk, I will present an analysis of the relationship between the precision of cars’ motion controllers and the efficiency of intersection controllers. I will also introduce a planning-based motion controller that can increase the efficiency of the autonomous intersection control mechanism by reducing the chance that autonomous vehicles stop before intersections. Finally, I will describe a theoretical study of liveness properties in simplified transportation systems, and present the conditions under which no vehicle gets stuck in traffic forever.
Biography
Tsz-Chiu Au is an assistant professor at Ulsan National Institute of Science and Technology in Korea. In the past decade, he worked on several topics in Artificial Intelligence, including multi-agent systems, intelligent transportation systems, evolution of cooperation, and automated
planning. Some of his research accomplishments during his Ph.D. study include an effective strategy for coping with noise in Iterated Prisoner’s Dilemma, a famous problem in the study of the evolution of cooperation. Since he joined The University of Texas at Austin as a postdoctoral fellow he has been working on new traffic management systems for autonomous vehicles. He got his Ph.D. degree in Computer Science at The University of Maryland,
College Park in 2008.
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