The stabilization of train timetables plays a significant role in railway operations. The main objective of this paper is to increase the robustness of traffic timetables. Robustness is analyzed by comparing previously used methods with newly implemented timetables through simulation, utilizing the ARENA tool. The model simulates all train departures and arrivals in the network during the daytime, employing three methods: train arrival at stations, train replacement at a central point, and route cancellation to avoid delays. This article aims to provide an understanding of robust timetables by examining and testing their stability. Robustness entails the ability of the timetable to return to the original schedule and recover despite disturbances, exhibiting low sensitivity to deviations. During disturbances, the timetable requires rescheduling, followed by the simulation to assess its robustness. However, this procedure is timeconsuming, making it unsuitable for short-term scheduling practices. This article examines different timetables, makes improvements to enhance their robustness, and compares and investigates the results. Various experiments are conducted and explained, including the assessment of the effects of different methods, examination of delays, and comparison of the effectiveness of different timetables on traffic timetable robustness. The simulation results demonstrate the relationship between robustness and the increase or decrease in the number of lines in the train timetables. Furthermore, the results reveal that the number of lines is not the sole factor affecting timetable robustness; dwell times at stations also have a significant impact. The article also highlights the necessary amount of dwell time to maintain robustness and emphasizes the importance of allocating dwell times effectively when all lines may utilize them. Additionally, the line structures can also influence robustness.