Transportation Systems and TechnologyTransportation Systems and TechnologyСетевой электронный журнал "Транспортные системы и технологии"2413-9203Eco-Vector1019110.17816/transsyst201842141-151Original papersОригинальные статьиResearch ArticleOptimization of the auxiliary stopping area planning in the middle-to-high speed Maglevhttps://orcid.org/0000-0001-8757-3183LaiQingying
China

Ph.D. candidate

yingzhikuangyu@163.comhttps://orcid.org/0000-0003-3242-3182LiuJun
China

Ph.D., Professor

jliu@bjtu.edu.cnhttps://orcid.org/0000-0003-1999-1935MengLingyun
China

Ph.D., Assistant Professor

lym@bjtu.edu.cnhttps://orcid.org/0000-0002-4043-6672ChaiXiaofeng
China

Master graduate student

16120757@bjtu.edu.cnhttps://orcid.org/0000-0003-2448-4364WangQunyan
China

Master graduate student

16125780@bjtu.edu.cnhttps://orcid.org/0000-0003-2224-5925XuYazhi
China

Master, Assistant Engineer

16120757@bjtu.edu.cnState Key Laboratory of Rail Traffic Control Safety Beijing Jiaotong UniversityCRRC Tangshan Co., Ltd13092018421411511709201817092018Copyright ©; 2018, Lai Q., Liu J., Meng L., Chai X., Wang Q., Xu Y.Copyright ©; 2018, Lai Q., Liu J., Meng L., Chai X., Wang Q., Xu Y.2018Lai Q., Liu J., Meng L., Chai X., Wang Q., Xu Y.Lai Q., Liu J., Meng L., Chai X., Wang Q., Xu Y.http://creativecommons.org/licenses/by-nc-nd/4.0https://journals.eco-vector.com/transsyst/article/view/10191

Background: The Auxiliary Stopping Area (ASA) is the special section that possesses power supply rail and personnel evacuation facilities, whose quantities and locations in a line are of great significance to reduce construction cost and improve transportation efficiency for the middle-to-high speed maglev.

Aim: This paper focuses on optimizing the length and location of the ASA for the middle-to-high speed maglev system to improve the robustness of maglev line.

Methods of the studies: Two evaluation indexes which reflect the ASA restricts on the train operation process was proposed. A model for optimizing the setting of the ASA is constructed, and solved by the genetic algorithm.

Results: The result of numerical examples shows that the proposed method can effectively improve the performances of the ASA.

Conclusion: This paper proposed two indexes to reflect the impact of station settings on train operations, which provides a method to optimize the ASA from qualitative optimization to quantitative optimization.

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