The purpose of this paper is to develop a model of a multi-nodal subway system and formulate as a Mixed Integer Linear Programming (MILP) problem. The objective is to optimize the subway departure schedule with the aim of improving average passenger waiting times. By incorporating key operational constraints such as track capacity, energy consumption, and real-world demand patterns, this study aims to enhance the overall efficiency and reliability of the metro system while ensuring a better experience for passengers. A segment of the Bucharest subway will be used for validation of the proposed scheme. (C) 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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Mixed Integer Linear Programming (MILP),Urban Transit Optimization,Transportation Efficiency,Operational Constraints