Method for constructing rail transit station passenger flow prediction model on the basis of network topology characteristics

A technology of rail transit and network topology, which is applied in the field of building a passenger flow prediction model for rail transit stations based on network topology characteristics, which can solve the problems such as the lack of research on passenger flow prediction methods for rail network stations and the lack of research on traffic network characteristic factors that have not been proposed by scholars, and achieve good guidance. Meaning, predicting accurate effects

Inactive Publication Date: 2018-01-19
SOUTHEAST UNIV
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Problems solved by technology

At present, the selection of factors mainly focuses on two aspects: human factors and social factors. There is a lack of research on the characteristics of the

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  • Method for constructing rail transit station passenger flow prediction model on the basis of network topology characteristics
  • Method for constructing rail transit station passenger flow prediction model on the basis of network topology characteristics
  • Method for constructing rail transit station passenger flow prediction model on the basis of network topology characteristics

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Embodiment Construction

[0022] Such as figure 1 As shown, the network topology characteristic provided by the present embodiment builds the method for passenger flow forecasting model of rail transit site, it is characterized in that, comprises the following steps:

[0023] (1) Selection of variables: select the population density of the administrative area to which the site belongs, the employment population density, the economic poverty coefficient of the administrative area to which the site belongs, the length density of roads in the administrative area to which the site belongs, the number of rail transit stations within 1000 / 700 / 400 meters from the station, and the distance from the station. 100 / 200 / 500 meters The number of bus stops, the distance from the rail transit station to the city center, betweenness, aggregation coefficient, degree, and the passenger flow data of each station at different times are used as variables; the different time periods are specifically morning peak and flat peak...

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Abstract

The invention discloses a method for constructing a rail transit station passenger flow prediction model on the basis of network topology characteristics. The method comprises the following steps that: (1) selecting the population density, the employed population density, the economic poverty coefficient and the road length density of an administrative region to which the station belongs, a rail transit station number in a range far away from the station for 1000/700/400m, a bus station number in a range far away from the station for 100/200/500m, a distance between the rail transit station and a downtown, a betweenness, a clustering coefficient, a degree and the station entering and exiting passenger flow data of different time periods of each station as variables; (2) obtaining the dataof each variable selected in (1); (3) importing parts of data of each variable in (2) into a Poisson regression model to fit, and independently simulating station entering and exiting passenger flow prediction of different time periods; and (4) checking the prediction model by residual variable data. The method is high in accuracy and rationality.

Description

technical field [0001] The invention relates to the technical field of rail transit station passenger flow forecasting, in particular to a method for constructing a rail transit station passenger flow prediction model based on network topology characteristics. Background technique [0002] With the development of society and economy, the number of cars in the society is increasing year by year, and the limited road resources and the pressure of use are gradually increasing. More and more cities are beginning to choose to develop large-capacity public rail transportation. Good transportation environment, large transportation volume, fast speed and other characteristics have gradually become the main body of transportation in some cities. At the same time, how to accurately predict the passenger flow and station size of rail transit stations has become a research hotspot in this field. At present, domestic and foreign rail transit station passenger flow forecasting is mainly ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/30
Inventor 李豪杰丁红亮
Owner SOUTHEAST UNIV
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