A review on computational intelligence methods for controlling traffic signal timing

作者：

Highlights：

• We have a review of applying machine learning methods (ML) for traffic signal timing.

• Signal timing through ML methods for a single intersection.

• Using genetic algorithm to determine NN and FLS parameters.

• Showing the better performance of ML methods compared to the pre-defined method.

• Showing better performance of proposed NN and FLS controllers compared to QL.

摘要

•We have a review of applying machine learning methods (ML) for traffic signal timing.•Signal timing through ML methods for a single intersection.•Using genetic algorithm to determine NN and FLS parameters.•Showing the better performance of ML methods compared to the pre-defined method.•Showing better performance of proposed NN and FLS controllers compared to QL.

论文关键词：Traffic signal timing,Machine learning,Q-learning,Neural network,Fuzzy logic system,Isolated intersection

论文评审过程：Available online 16 September 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.09.003