Adjustment of a learning rate of Q-learning used to control traffic signals
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United States of America Patent
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Mar 26, 2019
Grant Date -
Sep 13, 2018
app pub date -
Jul 5, 2017
filing date -
Mar 8, 2017
priority date (Note) -
In Force
status (Latency Note)
Importance
Abstract
Technologies are described to adjust a learning rate of Q-learning being used to control traffic signals at an intersection. In some examples, a method may include generating control actions for traffic signals at an intersection based on Q-learning, determining a frequency of change in traffic pattern of the intersection, and adjusting a learning rate of the Q-learning based on the determined frequency of change in traffic pattern of the intersection. The Q-learning may determine the generated control actions based on at least a portion of historical traffic data of the intersection, and the change in traffic pattern may be a change from a first traffic pattern of the intersection to a second traffic pattern of the intersection.
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Cited Art Landscape
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