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Method for predicting inbound and outbound passenger flow of urban rail transit station

A technology of urban rail transit and forecasting method, which is applied in the field of passenger flow forecasting in and out of urban rail transit stations, can solve problems such as no advantages, and achieve the effect of easy access, accurate results, and precise passenger flow forecasting

Active Publication Date: 2018-10-23
SOUTHEAST UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, the "Four-Stage Method of Transportation Planning" is designed to predict macro travel demand, and it has no advantage in microscopic land use analysis of stations

Method used

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  • Method for predicting inbound and outbound passenger flow of urban rail transit station
  • Method for predicting inbound and outbound passenger flow of urban rail transit station
  • Method for predicting inbound and outbound passenger flow of urban rail transit station

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Embodiment Construction

[0036] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0037] A method for forecasting passenger flow in and out of urban rail transit stations, such as figure 1 As shown, the specific implementation steps are as follows.

[0038] S11. Obtain the rail transit AFC transaction data, read it into the MongoDB database, and use the database query statement to count the passenger flow data of each station every day in and out of the station, and then obtain the boarding and landing volume of the rail station. The number of boarding and landing at a rail station refers to the sum of the number of passengers boarding and disembarking at a rail transit station per unit time (10,000 people / d or 10,000 people / h).

[0039] S12, track AFC data processing and the acquisition method and process of track station rides and landings, see figure 2 . The basic steps are to obtain the station rides and landings...

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Abstract

The invention discloses a method for predicting an inbound and outbound passenger flow of an urban rail transit station. The method comprises the steps of firstly, counting an average inbound and outbound passenger flow of an existing rail transit station on weekdays according to an automatic ticketing system; then, respectively obtaining built environmental elements within the range of 500 m at peripheries of the existing rail transit station and new rail transit station; establishing a regression model of the average inbound and outbound passenger flow data of the existing rail transit station on weekdays and the built environmental elements within the range of 500 m at the periphery of the existing rail transit station, and substituting the built environmental elements within the rangeof 500 m at the periphery of the new rail transit station into the regression model to obtain an average inbound and outbound passenger flow prediction value of the new rail transit station on weekdays. By use of the method for predicting the inbound and outbound passenger flow of the urban rail transit station, an influence of built environments at the periphery of the station on inbound and outbound passenger flows can be effectively analyzed, and further the passenger flow of the new rail transit station is predicted based on the influence.

Description

technical field [0001] The invention belongs to the technical field of rail transit, and in particular relates to a method for predicting passenger flow in and out of urban rail transit stations. Background technique [0002] Studying the travel characteristics of rail transit is of great significance for guiding the construction of rail transit, providing solutions to alleviate urban congestion, and guiding urban and traffic planning. As the most frequently analyzed travel characteristics of rail transit, the passenger flow of rail stations is an important part of rail transit passenger flow prediction. At present, most rail passenger flow forecasting methods use the four-stage method. The four-stage method is to divide the research area into traffic areas one by one, calculate the occurrence and attraction of travel in the traffic area by the growth coefficient method, and calculate the passenger flow distribution between each traffic area by using the gravity model metho...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04
CPCG06Q10/04
Inventor 杨敏罗津宇吴运腾李国强李瑞
Owner SOUTHEAST UNIV
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