چكيده به لاتين
Rail systems and especially the subway system, due to the number of trains and more trips and the complexity and uncertainties in their structure and operation, require detailed pre-operation planning, which is called traffic management. Despite the careful planning of the decision makers, there is still the possibility of an unforeseen event occurring in these systems that can disrupt the plan and actual operations, so studying an optimal method for instant decision-making when such disturbances occur and achieving a re-planning to continue moving in this Systems are very important.
In this thesis, a model of the urban subway system was modeled with the help of the safety requirements and the restrictions governing it with a macroscopic approach, as well as a model for its disruption and delay. In order to simulate the model, a case study is considered in this thesis, Line 7 of Tehran Metro. At first, according to the requirements and limitations of line 7 (infrastructure, train and safety features), a model was created for its timetable, which has the ability to show the location of the train at any moment, as well as the time of arrival and departure, stopping and driving of trains. If there is a delay in the timetable, a system is needed to modify the timetable by entering the train number, station number and the amount of the delay in such a way as to prevent trains from colliding with each other and also to prevent the spread of disturbances. For this purpose, a fast algorithm with accurate decisions was used, such as the Q algorithm, which started to choose the best time to stay and drive on a train that was delayed, and extracted the best amount of time to stay and drive by trial and error. Repeat the actions for the back trains to prevent delay propagation and return to the original timetable. In the end, the simulated model of the revised schedule is plotted with the original schedule in a plot for better understanding and comparison.
