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Networked train operation plan regulating method

A technology of operation planning and adjustment method, applied in transportation and packaging, railway car body parts, transportation center control system, etc., can solve problems such as large correlation of constraints, complex direct solution, and large number of variables, and achieve faster convergence. Speed, increased computational efficiency, wide range of effects

Inactive Publication Date: 2011-11-23
BEIJING JIAOTONG UNIV
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

The traditional operation plan adjustment method has a large number of variables, highly correlated constraints, and the direct solution is too complicated, and it is difficult to obtain the optimal solution. It is limited to the adjustment within the section, and does not consider the road network constraints and other issues.

Method used

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Embodiment Construction

[0023] The present invention uses the principle of hierarchical control system to optimize the design of the model structure, improves the traditional operation adjustment model, and divides the operation plan adjustment model into road network layer, section layer, train group layer and train layer. A hierarchical model, such as figure 1 As shown, dimension reduction, order reduction and parallel processing are performed on the solution problem.

[0024] In addition, the optimization objectives or constraints of each level have been improved, which will be described in detail below:

[0025] (1) Train floor

[0026] The train layer is specific to each train i, and its behavior is determined by the arrival and departure time x at each intermediate station i,j 、y i,j reflect. If there is no parking (avoidance) operation at the intermediate station j, then x i,j -y i,j = 0; if there is a stop and go operation at the intermediate station j, then x i,j -y i,j >0. There is...

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Abstract

The invention discloses a networked train operation plan regulating method based on a layered stepped intelligent mixing optimization method. The regulating method comprises the following steps of: on the basis of utilizing a layered stepped control principle of a large system, improving the conventional operation plan model; dividing an operation plan regulating model into a road network layer, a zone layer, a train group layer and a train layer; and regulating objective functions or constraint conditions of each layer. A high-speed train group and a medium-speed train group are respectively optimized in the groups by a coordinated optimization algorithm based on a genetic algorithm so as to solve the model. In the solving process, the initial value of the algorithm is searched by a mode matching method, so that computation speed is increased, and computation accuracy is improved. More effective new thoughts and methods are provided for operation regulation of high-speed rail trains.

Description

technical field [0001] The invention belongs to the technical field of high-speed train operation scheduling control, and in particular relates to a method for adjusting network train operation plans by using hierarchical intelligent hybrid optimization technology. Background technique [0002] Since the high-speed railway was put into use, its excellent characteristics in all aspects are also gradually reflected. Due to the large passenger flow and high traffic density of high-speed railways, the large speed difference between high-speed and medium-speed trains, the connection of cross-line medium-speed trains with high-speed lines is likely to cause delays for existing line trains, and high-speed railways need to bear the burden With the responsibility of railway capacity expansion, the timeliness and effectiveness of high-speed railway train operation adjustment have put forward higher requirements for train operation adjustment. [0003] Based on the analysis of operati...

Claims

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Application Information

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IPC IPC(8): B61L27/00
Inventor 徐杰陈彩霞贾利民秦勇孟学雷王莉周韬谢正媛王伶俐
Owner BEIJING JIAOTONG UNIV
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