Abstract

Auxiliary stopping area (ASA) is the key guarantee for high-speed maglev train operation safety. Aiming at the layout of the ASA along the track, this article constructs an optimized model of ASA layout and proposes a solving algorithm based on the single target genetic algorithm by analyzing the influence factors of ASA layout. The result of the numerical experiment shows that the proposed method could fulfill the requirements of the maglev train operation safety and efficiency and optimize the cost of the ASA layout while taking the complex line situation, train tracking operation, and bidirectional operation on a single line into account.

Highlights

  • With the continuous development of the economy and society, resource and environmental issues have become increasingly severe, and people hope to reduce their impact on the environment while traveling efficiently

  • None of the existing studies has solved the above-mentioned problems well; that is to say, the method of the auxiliary stopping area layout is not perfect yet. In this regard, focusing on the safety of train operation, the construction cost of the line, and the operation efficiency of the train, this paper proposes a method for the layout of the high-speed maglev auxiliary stopping area

  • Through the description of the factors affecting the layout of the auxiliary stopping area, we established an optimization model of the auxiliary stopping area layout for multiple train operation speed profiles and single-track bidirectional operation scenarios and designed a genetic algorithm to solve the model according to the characteristics of the problem

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Summary

Introduction

With the continuous development of the economy and society, resource and environmental issues have become increasingly severe, and people hope to reduce their impact on the environment while traveling efficiently. Is method is a recursive arrangement strategy that takes the terminal station as the first reference auxiliary stopping area and approaches the departure station one by one according to the protection speed profile Later, they proposed a bidirectional coordinated auxiliary stopping area layout method for the single-track two-way line [13]. Through the description of the factors affecting the layout of the auxiliary stopping area, we established an optimization model of the auxiliary stopping area layout for multiple train operation speed profiles and single-track bidirectional operation scenarios and designed a genetic algorithm to solve the model according to the characteristics of the problem. Based on the stopping point stepping mode, this paper constructs an optimization model of auxiliary stopping area layout for multiple train operation profiles and single-line two-way operation scenarios.

The Genetic Algorithm for Optimization Model
Objective function
Conclusion
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