سيدمهدي علوي شوشتري

Train scheduling in urban transportation networks, particularly in metro systems, is one of the most critical challenges in the management of rail transportation systems. The importance of proper scheduling in these systems is due to its direct impact on improving service quality, reducing travel time, and lowering operational costs and energy consumption. Specifically, in the Tehran metro, which is one of the busiest urban transportation networks in Iran, optimizing train schedules can play a significant role in increasing system efficiency and enhancing passenger satisfaction. This research presents a stochastic programming model and a solution method to develop an optimal timetable for passenger trains under uncertain demand. The proposed model, using mathematical programming, aims to optimize travel time, station stop time, and passenger transfer time while reducing operational costs. Additionally, a stop-skipping strategy at certain stations is employed to enhance system efficiency. The research methodology involves analyzing various optimization models and simulating passenger demand under different conditions. To solve the proposed model, an approach based on Monte Carlo simulation is used. Data from parts of Tehran Metro Lines 1, 2, 3, and 4 are utilized as a case study to eva‎luate the model's accuracy and efficiency. The results show that the proposed model can significantly reduce travel time per passenger and improve overall system performance. Specifically, the study demonstrates that the proposed model can effectively optimize train schedules. This research, by analyzing dynamic and variable passenger demand across different time periods and specific stations, shows that an optimal train schedule must account for variations in passenger entry at stations and provide a suitable timetable for all days. The proposed model can serve as an effective tool for better planning and management of rail transportation systems in urban networks.

برنامه‌ريزي تصادفي دومرحله‌اي , عدم قطعيت تقاضا , ، زمانبندي حركت قطارها , رويكرد عدم توقف در همه ايستگاه‌ها

Two-stage Stochastic programming , Demand uncertainty , Train timetabling , Stop-skip approach

sayed mehdi alavi shoushtari

dr reza mohammad hasani