Intelligent cuckoo search optimized traffic signal controllers for multi-intersection network

作者：

Highlights：

• Implementing intelligent adaptive traffic signal controllers for a network of intersections.

• Using Cuckoo cuckoo search to determine optimal parameters of NN and ANFIS traffic signal controllers.

• Showing the better performance of CS-NN, CS-ANFIS, and Q-learning controllers compared to the pre-defined method respectively.

摘要

•Implementing intelligent adaptive traffic signal controllers for a network of intersections.•Using Cuckoo cuckoo search to determine optimal parameters of NN and ANFIS traffic signal controllers.•Showing the better performance of CS-NN, CS-ANFIS, and Q-learning controllers compared to the pre-defined method respectively.

论文关键词：Traffic signal timing,Machine learning,Q-learning,Neural Network,Fuzzy logic systems,ANFIS,Cuckoo search

论文评审过程：Available online 4 February 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.01.063