Study on Traffic Signal Control Based on Q-Learning

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 ...

Fuzzy theory and machine learning are applied in this paper. Through fuzzy clustering the number of arriving cars, the schemes of signal control are put into knowledge-database in the form of rule-set under different conditions of cars' arriving. The ...

Efficient signal control at isolated intersections is vital for relieving congestion, accidents, and environmental pollution caused by increasing numbers of vehicles. However, most of the existing studies not only ignore the constraint of the limited ...