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Grading method used for urban rail transit passenger flow congestion index

A technology of urban rail transit and grading method, which is applied in the field of safety grading of urban rail transit passenger flow congestion index, and can solve the problems of single data collection range and inaccurate grading effect

Active Publication Date: 2016-10-12
NINGBO UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0004] The existing grading is based on different research methods and proposes their own index classification standards and division basis. Due to the limitation of data collection ability and data accuracy, a single K-mean cluster analysis and comprehensive weighting are used to classify different definitions. There is a problem that the grading effect is not accurate due to the single data collection range.

Method used

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  • Grading method used for urban rail transit passenger flow congestion index
  • Grading method used for urban rail transit passenger flow congestion index
  • Grading method used for urban rail transit passenger flow congestion index

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Embodiment Construction

[0061] combine figure 1 with figure 2 Shown: A classification method for urban rail transit passenger flow congestion index, including the following steps:

[0062] Step 1: Analysis of passenger flow characteristics of rail transit; it is divided into three parts: inbound passenger flow, outbound passenger flow, and inbound and outbound flow characteristic statistics. Passenger flow generally leaves the station directly through service facilities such as platforms and stairs, and the total passenger flow in and out of the station is to analyze the overall operation of the station.

[0063] Step 2: Passenger flow congestion index safety classification method, comprehensively classify the congestion situation from three aspects: passenger flow congestion intensity, passenger flow congestion duration, and congestion influence range; among them:

[0064] The intensity of passenger flow congestion is characterized by the average density of passenger flow per unit time, and its c...

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Abstract

The invention discloses a grading method used for an urban rail transit passenger flow congestion index, and relates to the field of urban rail transit operation management. The method comprises the steps of performing cluster analysis based on a rail transit passenger flow congestion degree big data sample value; performing optimization solving by adopting an ant colony optimization algorithm, and obtaining an optimal number of clusters and a key value of grading by adjusting an ant number and a pheromone evaporation rate; and therefore achieving the purpose of safely grading the urban rail transit passenger flow congestion index.

Description

technical field [0001] The invention relates to the field of urban rail transit operation management, in particular to a safety grading method for urban rail transit passenger flow congestion index. Background technique [0002] With the rapid growth of rail transit passenger flow, the spatial and temporal distribution of passenger flow is highly concentrated, and the contradiction between facility traffic and capacity is becoming increasingly prominent. The demand for a large number of passenger flows poses a greater challenge to the safety of rail transit network operations. At the same time, factors such as the continuous increase in total passenger traffic, average daily passenger traffic and average passenger traffic intensity, and the relative shortening of the minimum departure time interval have put forward higher requirements for the safety management of urban rail transit operations under networked operating conditions. The service quality of public transportation,...

Claims

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Application Information

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IPC IPC(8): G06F19/00G06N3/00
CPCG06N3/006G16Z99/00
Inventor 周继彪董升赵鹏飞张水潮杨仁法方琪璐郭顺
Owner NINGBO UNIVERSITY OF TECHNOLOGY
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