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Urban crowd travel identification method based on multi-source data driving

A recognition method and multi-source data technology, applied in network data retrieval, network data indexing, character and pattern recognition, etc., can solve problems such as crowd classification

Active Publication Date: 2021-01-29
HUNAN NORMAL UNIVERSITY
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Specifically, it includes judging the origin and destination of the trip through the bus IC card database, and then obtaining the OD matrix of the bus line, but the paper does not classify the crowd

Method used

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  • Urban crowd travel identification method based on multi-source data driving
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Embodiment Construction

[0031] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0032] It should be noted that, in this embodiment, the Voronoi diagram is also called Thiessen polygon or Dirichlet diagram, which is composed of a group of continuous polygons composed of perpendicular bisectors connecting straight lines between two adjacent points.

[0033] Such as figure 1 As shown, a multi-source data-driven urban crowd travel identification method, the method includes the following steps:

[0034] S1. Crawl the city POI data and cluster the bus station POI data in the crawled POI data, then determine the cluster center point of the bus station POI data clustering and cluster the cluster center according to the determined bus station POI data clustering Points to construct the corresponding city Voronoi diagram;

[0035] S...

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Abstract

The invention discloses an urban crowd travel identification method based on multi-source data driving. The method comprises the following steps of: S1, crawling urban POI data, carrying out clustering on bus station POI data, and determining the central point of a clustering cluster so as to construct an urban Voronoi diagram; S2, dividing functional areas of a city based on the data in the stepS1; S3, obtaining urban crowd travel data and clustering the urban crowd travel data, and determining a cluster center point of the crowd travel clustering of the city; and S4, displaying the clustercenter point of the urban crowd travel cluster on the urban Voronoi diagram, and identifying the crowd travel distribution rule of the city. According to the method, the functional areas of the city are divided by utilizing the city POI data; the urban crowd travel data in different time periods are obtained based on the functional areas of the city; and therefore, the crowd travel distribution rule of the city in the different time periods is identified, and a basis is provided for the construction of a smart city.

Description

technical field [0001] The invention belongs to the technical field of traffic control, and in particular relates to a multi-source data-driven travel recognition method for urban crowds. Background technique [0002] A city is not only a product of history and culture, but also a social and political network, and an economy. The connotation of a city goes beyond its own shape, and is a highly structured and complex spatial system. Reasonable urban functional zone planning is an important prerequisite for urban sustainable development, and accurate identification of urban functional zones is very important for urban planning. A good urban functional area structure can alleviate traffic congestion, improve people's happiness in life, and rationally utilize resources. At present, some urban functional zone plans only identify urban regional functions based on current data on land use types and regional population density and other socioeconomic statistics, resulting in inaccu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F16/951
CPCG06F16/951G06F18/23213
Inventor 张锦张建忠汪飞郭芊陈谏滔
Owner HUNAN NORMAL UNIVERSITY