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High-speed train tracking running curve optimization setting method

A technology for high-speed trains and running curves, applied in design optimization/simulation, special data processing applications, instruments, etc.

Active Publication Date: 2017-05-31
EAST CHINA JIAOTONG UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing setting methods often ignore the influence of some important line characteristics on the setting results, such as power failure in the phase-splitting area

Method used

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  • High-speed train tracking running curve optimization setting method
  • High-speed train tracking running curve optimization setting method
  • High-speed train tracking running curve optimization setting method

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Embodiment Construction

[0096] The present invention will be described in detail below in conjunction with specific embodiments.

[0097]Using the advantages of the echo state network in time series prediction, a high-speed train speed prediction model is established; for the tracking interval between high-speed trains under moving blockage, it presents "moving, braking, etc. According to the characteristics of "dynamic length", establish a high-speed train tracking model to accurately describe the impact of moving block on the high-speed train tracking curve; fully consider the characteristics of high-speed railway lines and the characteristics of split-phase power supply on the high-speed train tracking operation "speed-mileage" curve , establish an accurate line characteristic model; propose a new multi-objective measurement index: safety, energy saving, comfort, and take the algorithm convergence condition as one of the model constraints, solve the model to obtain the Pareto solution set of the se...

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Abstract

The invention discloses a high-speed train tracking running curve optimization setting method. According to the characteristic of 'movable and dynamic length' of a tracking section of a high-speed train under movable blocking condition, the method establishes a high-speed train echo state network speed prediction model, a movable blocking based tracking running model, a line network and a tracking running curve multi-target setting model adopting innovative evaluation indexes based on line and high-speed train running data acquired in a site; an efficient multi-target particle swarm optimization is adopted to use an algorithm convergence condition as one of model setting constraints, and high-speed train tracking running curve optimization setting is performed based on the real-time data; finally, section operation efficiency and stability are used as the evaluation indexes of the setting method, and a group of optimal running curves are screened out, so that the high-speed train running process is safe and efficient, and meanwhile the high-speed train section operating efficiency and stability under the movable blocking condition are improved.

Description

technical field [0001] The invention relates to an optimal setting method of a "speed-mileage" curve of a high-speed train under a moving block, and belongs to the technical field of high-speed train tracking operation optimization control and automatic driving. Background technique [0002] With the rapid development of society, the demand for transportation continues to increase, and high-speed railway transportation has highlighted its important position in the development of the national economy. According to the national "13th Five-Year Plan for Railways", the "13th Five-Year Plan" is still a golden period for the development of railway construction. my country will accelerate the development of passenger high-speed railways and strive to improve the national high-speed railway network. In the high-speed and high-density operating high-speed railway system, the optimal control of high-speed train tracking operation based on moving block is one of the core technologies t...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/15G06F30/20
Inventor 杨辉刘鸿恩付雅婷谭畅
Owner EAST CHINA JIAOTONG UNIVERSITY
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