چكيده به لاتين
This Thesis presents a new dynamical model of intercity railway system. The proposed model is a discrete event system that is defined based on the deviation of travel time and stopping time of the trains. Due to the existence of multiple sub stations along the route and the possibility of solving the control problem at an acceptable time, the scale of the real rail network of the Islamic Republic of Iran A smaller network has been used without losing the integrity of the issue during the one-day period. It should be noted that in the proposed model, unlike previous models of latency delay transmission, the actual view of how trains operate is considered. In order to model the traffic dynamics along the route, the Max-Plus linear systems are used and for controlling the traffic flow, a Model Predictive Controll is used. The goal is to control the reduction of time lag along the route and eliminate it by reducing the trip time between the stations, reducing the stopping time of trains at stations, and not having to meet trains scheduled at the interface stations. In the process of designing these controllers, the cost function for retrieving delays and increasing satisfaction of travelers is utilized by parameters and real weight coefficients. It should be noted that the role of travelers in stations and trains is represented by the ODM matrix in their modeling by pointing their origin and destination. Since the rail network with constraints and constraints, such as the limit of maximum permitted speed, limit of time Headway, etc. is subject to constraints on control signals. The performance of the proposed model as well as the successful operation of the control system through simulation are shown. It is worth recalling that in this study modeling and simulation based on actual traffic information in the main lines of the Islamic Republic of Iran. The timetable used in the article corresponds to the time schedule for the fall of 1395 in the railway company of the Islamic republic of Iran.
Keywords: Dynamic Modeling of Intercity Rail Traffic, Time Delay Recovery, Max-Plus Linear Discrete Event Systems, Model Predictive Control.
