Automatic train speed control with fuzzy logic inference system

In this dissertation, fuzzy logic and adaptive network based fuzzy inference system (Anfis) applied to Automatic Train Operation System. Starting from the oretical inquiries on Automatic Train Operation System, a train control and management system based on fuzzy logic is obtained. Later this technique is taken one step further to a madeling and simulation using both artificial intelligence networks and fuzzy logic based Anfis, than modaled and tested for the first time in the world. With usage of fuzzy logic and Anfis control together on Automatic Train Operation System it is attempted to make a reliable system to work on every region and condition with highest security and attained results are presented.