Study of Artificial Immune Clustering Algorithm and Its Applications to Urban Traffic Control

The vertebrate immune system is a decentralized and adaptive system with high complexity. The information processing mechanism extracted from vertebrate immune system can be used for solving many complex engineering problems. After reviewing the mechanism of immune system, an artificial immune data clustering algorithm based on clone selective principle and immune network theory from the vertebrate immune systems was put forward. This algorithm has been successfully used for making the time of day schemes of urban traffic control systems. It can get over the irrational intervals from manually programming and the hierarchical clustering based on genetic algorithm. This work supplies a new idea for programming time of day intervals and making urban traffic control schemes. The work in this paper proposes a novel idea for automatically making time of day projects and other complex data clustering applications.