Block partition design method for ultra-high-speed maglev train

Abstract

The invention provides a block partition design method for an ultra-high-speed maglev train. The block partition design method comprises the following steps: preparing data; performing partition division; building block time models of different types of partitions of the ultra-high-speed maglev train; establishing a block partition division multi-objective optimization model; solving by adopting an improved non-dominated sorting genetic algorithm with an elitist strategy to obtain all non-dominated solutions; according to the method, the bottleneck links of the adjacent trains can be positioned more accurately and quickly, and the line design capability can be evaluated more scientifically and accurately; the calculation complexity can be reduced, the sampling space can be expanded, the diversity of populations can be maintained, and the advantages and disadvantages of solutions can be well guaranteed; meanwhile, by means of the method, an operation time margin model is added in the block time model of each partition, and the block partition optimization design result under the disturbance condition of the ultra-high-speed maglev train can be further calculated.

Description

technical field [0001] The invention relates to the technical field of track traffic control for ultra-high-speed magnetic levitation trains, in particular to a method for designing block partitions suitable for ultra-high-speed magnetic levitation trains. Background technique [0002] "Transportation power" is an important part of building a scientific and technological power. It points out that we must aim at the frontiers of science and technology in the world, realize forward-looking basic research, and lead major breakthroughs in original achievements. Industry leaders represented by Academician He Huawu stood at the commanding heights of technology strategy and proposed that low-vacuum pipeline ultra-high-speed maglev railway is the development direction of future rail transit. The Chinese Academy of Engineering officially launched the major consulting project "Strategic Research on Low Vacuum Tube (Tunnel) Maglev Railway" in 2018, focusing on the strategic needs and p...

AI Technical Summary

Problems solved by technology

Aiming at the problem that the capacity calculation method is not scientific and accurate enough in the current optimization design process of block partitions, a capacity calculation method based on the combination of block time and maximum automata theory is provided, which can not only locate the bottleneck link of adjacent trains more accurately and quickly, but also It can evaluate the line design ability more scientifically and accurately; aiming at the problem that the importance and priority of different objective functions are not clear in the multi-objective optimization model of occlusion partition division, a non-dominated sorting genetic algorithm with elite strategy (NSGA-II:Non Dominated sortinggenetic algorithm-II) calculates the Pareto frontier solution, which can not only reduce the computational complexity, expand the sampling space, but also maintain the diversity of the population, and the quality of the solution can be better guaranteed

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