Control of Railway Signalization Between Zonguldak Ankara with Neuro-Fuzzy Approach

The development of the railway system makes feel the importance, not only in passenger transportation, but also in the logistics sector. Therefore, a successful signaling system is needed for the safely transportation and efficient evaluation of time in railway transportation. In this study, the intelligent control system was developed by using neuro-fuzzy method for the waiting times of different train types at Zonguldak Ankara stations. Errors of the results of the proposed method are less than 1 minute when compared to real-time data.