Optimization of Schedules with Heterogeneous Train Structure in Plan-ning of Railway Lines
One of the most important things to consider before constructing a railway is the train operating program. However, the analysis of the operating program based train schedule in the railway planning stage is carried out mainly on the basis of the intuitive experiences of the planner, and the optimization of the train schedule under various conditions is not properly considered. This study analyzes the optimization of heterogeneous train scheduling structures with minimizing the weighted scheduled waiting time and with the decision of Subsidiary Main Track (SMT) for overtaking of high-speed trains on the railway line. As a way for analyzing the Optimal Train Schedule (OTS) under constraint conditions, the genetic algorithm is used. The genetic algorithm is widely applied to various optimization and decision-making problems in engineering, natural sciences, business administration, and social sciences. The proposed method can examine train schedules for more scenarios, apply quantitative evaluation criteria, and review concrete infrastructures in comparison to the existing empirical method used in South Korea.
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Kim, Hyoung June
Hyoung June Kim was born in 1977 in Seoul, Republic of Korea. He completed his master's degree in Transportation Engineering at the University of Seoul in 2013 with research projects including the Cambodia railway master plan, rail passenger transportation business, and line capacity estimations. In 2014, he started his PhD at the Institute of Railway and Transportation Engineering at the University of Stuttgart in Stuttgart, Germany. He was promoted to Dr.-Ing in 2019 at the University of Stuttgart.
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