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Multi-objective optimization method and system for urban train operation

A multi-objective optimization and train technology, applied in the field of multi-objective optimization methods and systems for urban train operation, can solve problems such as failure to fully reflect the essential characteristics of multi-objective optimization problems, slow convergence speed, and inability to achieve optimization effects.

Active Publication Date: 2021-09-07
EAST CHINA JIAOTONG UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are also studies that regard it as a multi-objective optimization problem, but some consider the optimization under ideal line conditions, ignoring the influence of actual line parameters, and have little value for actual engineering applications
There are also studies that integrate multiple indicators of punctuality, safety, comfort, and energy saving into a single-objective problem for optimization, which still fails to fully reflect the essential characteristics of multi-objective optimization problems
In addition, the algorithm for solving mostly adopts genetic algorithm and particle swarm algorithm, which has problems such as slow convergence speed, easy to fall into local optimum, etc., and cannot achieve the best optimization effect

Method used

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  • Multi-objective optimization method and system for urban train operation
  • Multi-objective optimization method and system for urban train operation

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Embodiment 1

[0075] like figure 1 As shown, this embodiment provides a multi-objective optimization method of urban train operation, including:

[0076] S1: Get a section parameter information of the urban train actual operation route condition;

[0077] Specifically, the segment parameter information includes speed limit information, slope information, and path curve radius information of each of the operational sections of each city.

[0078] S2: According to the segment parameter information, the urban train operation section is divided into the running range of the urban train;

[0079] Specifically, based on the principle of uniqueness of the line characteristics of the operation section of the urban train, that is, the principle of urban train only corresponds to the principle of limit speed values, slope values, and the radius value of the route curve, is not The equal partition is divided, and the speed limit information, slope information, and the route radius information after the no...

Embodiment 2

[0146] This embodiment provides a multi-objective optimization system corresponding to a city train corresponding to the embodiment, including:

[0147] Section parameter information acquisition unit, used to obtain segment parameter information for the actual runtime rule condition of urban trains;

[0148] Non-equivalent partitioning units, used to divide the urban train operation section according to the segment parameter information, to obtain the operational intervals of urban trains;

[0149] Urban train longitudinal dynamics model establishing units for the longitudinal dynamics model of urban train according to the basic parameter information and segment parameter information of urban train vehicles;

[0150] Urban train longitudinal dynamics model calculation unit for use according to the longitudinal dynamics model of urban train, to obtain multi-performance evaluation indicators for trains from various operational sections;

[0151] Multi-objective optimization model es...

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Abstract

The invention relates to a multi-objective optimization method and system for urban train operation, and the method comprises the following steps: firstly obtaining the speed limit information, ramp information and curve radius information in an actual train line, carrying out the non-equal region division of an interval according to the line feature information, and constructing a train longitudinal dynamic model in combination with the basic train data of a train; calculating the train operation energy consumption, the interval operation time, the actual parking position and the acceleration change rate through the kinetic model, and building a train operation multi-objective optimization model; then solving the multi-objective optimization model by adopting a multi-objective differential evolution algorithm to obtain a Pareto optimal solution set of each operation interval; and finally, according to an urban train operation performance index evaluation principle, obtaining an optimal solution capable of comprehensively considering each target and generating a train operation speed curve. Compared with other methods, the method has the advantages that the convergence speed is high, the method is not prone to falling into a local optimal solution, and the optimal working condition conversion position can be quickly and accurately searched.

Description

Technical field [0001] The present invention relates to the field of rail transportation optimization technology, particularly to a city train running multi-objective optimization method and system. Background technique [0002] Urban rail transit in a safe and comfortable, punctual and efficient, green, carrying large advantages, occupy an indispensable role in my country's urban public transport system. With rail transit operating mileage gradually rising passenger traffic grows, the operator continued growth in energy consumption, saving energy has become one of the issues of sustainable development of urban rail transit must be overcome. The largest mass transit system in the train traction energy consumption accounted for the proportion of total energy consumption to run, how to reduce energy consumption traction trains for urban rail transit system to maximize energy efficiency has a very important practical significance. The city train operation optimization is essentially...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06N3/00G06Q10/04
CPCG06Q10/04G06F30/20G06N3/006G06N3/126G06N20/00B61L27/60B61L27/16
Inventor 杨辉鄢苗周艳丽杨洛郡李中奇
Owner EAST CHINA JIAOTONG UNIVERSITY