RT - Journal Article T1 - Scaling, Modeling and Traffic Control of a Real Railway Network using Max-plus Algebra and Model Predictive Control JF - joc-isice YR - 2020 JO - joc-isice VO - 14 IS - 3 UR - http://joc.kntu.ac.ir/article-1-550-en.html SP - 103 EP - 116 K1 - Dynamic Modeling of Railway Traffic K1 - Max-Plus Algebra K1 - Model Predictive Control K1 - Time Delay Recovery. AB - Delay time recovery can increase the efficiency of the railway network and increase the attractiveness of railway transport against other transportation systems. This article presents a new dynamical model of railway system. The proposed model is a discrete event systems that is defined based on the deviation of travel time and deviation of stop time of trains. Due to the existence of multiple substations along the path and the possibility of solving the control problem at an acceptable time, the realization of the real railway network of the Islamic Republic of Iran into a smaller network has been used without losing the integrity of the issue. The Max-Plus is used to model the dynamics of traffic along the route and Model Predictive Control is used to control the traffic. The goals of the control system are reduction of time delay along the route and eliminate it by reducing the train travel time between stations and change in meeting or not meeting time scheduled trains in the interface stations. In the final section of the paper, simulation results are presented to show the validity of the proposed model as well as the successful performance of the MPC system. It should be noted that in this study, modeling and simulations have been done based on actual traffic information in the main lines of the Islamic Republic of Iran Railways. LA eng UL http://joc.kntu.ac.ir/article-1-550-en.html M3 10.29252/joc.14.3.103 ER -