Title: Study on Traffic Signal Control Based on Q-Learning
Abstract: In order to reduce the delay of vehicles passing through junction, the signal timing of agent controlled intersection was optimized by Q-Learning approach. On the basis of fuzzy rule set, the effect of signal control was improved through optimizing the combination of control rules with Q-Learning. The result of simulation illustrates that the signal control method based on Q-Learning is better than fixed-time control, actuated control and signal control based on genetic algorithms. The result of this research indicates that the signal control method based on Q-Learning is adapted to the urban traffic control.
Publication Year: 2009
Publication Date: 2009-08-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 7
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