MODELLING OF AN AUTOMATIC SUBWAY TRAFFIC CONTROL BY FUZZY LOGIC AND NEURAL NETWORKS THEORY

摘要

In recent years, there has been an increasing amount of interest of the study of service quality in guided transport systems, which concerns many aspects, including comfort and accessibility considerations as well as regularity performances, which are closely correlated with traffic control methods. In this paper, that is presenting the general problem of subway traffic regulation systems and discuss briefly the classical theoretic and experimental algorithms introduce formally our own approach based on hierarchic and modular control system which takes advantage from knowledge representation possibilities of fuzzy logic and learning abilities of neural networks and present the principle results and the future research topics.