Seminar on Computational Learning and Adaptation
Automobile Traffic Management through Intelligent Lane Selection:
A Distributed, Machine Learning Approach
In this talk, I will present a novel approach to traffic management
through coordinating driver behaviors. Current traffic management
systems do not consider lane organization of the cars and only affect
traffic flows by controlling traffic signals or ramp meters. However,
drivers can increase traffic throughput and more consistently maintain
desired speeds by selecting lanes intelligently. I pose the problem
of intelligent lane selection as a challenging and potentially
rewarding problem for artificial intelligence, and I propose a
methodology that uses supervised and reinforcement learning to form
distributed control strategies. Initial results are quite promising
and demonstrate that intelligent lane selection can achieve higher
traffic throughput, maximize desired speeds, and reduce the total
number of lane changes.
Date: Thurs., January 22; Time: 4:15-5:30PM; Place: Gates 100
The goal of this seminar is to increase
communication among local researchers with interests in computational
approaches to learning and adaptation. If you would like to be added
to (or removed from) the mailing list, or if you are interested in
giving a talk in the seminar, please send email to
iba@isle.org.
Return to seminar schedule.