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Crowd Portrait Algorithm Based on Massive Bus Data

A bus data and data technology, which is applied in the field of crowd portrait algorithm based on massive bus data, can solve the problem of insufficient urban crowd portrait technology, achieve the effect of reducing crowd trajectory data, improving the quality of results, and improving data processing efficiency

Active Publication Date: 2021-06-18
HUNAN NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traffic data hides the daily behavior of users. When a user group has a similar trajectory, it can be considered that the group has similar characteristics. This feature is the group portrait of the group. However, there are relatively few technologies for studying urban crowd portraits.

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  • Crowd Portrait Algorithm Based on Massive Bus Data
  • Crowd Portrait Algorithm Based on Massive Bus Data
  • Crowd Portrait Algorithm Based on Massive Bus Data

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Embodiment Construction

[0069] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0070] Aiming at the existing problems, the present invention provides a crowd portrait algorithm based on massive bus data, such as figure 1 shown, including the following steps:

[0071] Step S1, data description and preprocessing: obtain bus card swiping data and POI (Point of Interest) data, and perform preprocessing;

[0072] Step S2, screening crowds in key areas: extracting passenger track data with frequent travel times and frequent trips to hotspot areas through the PageRank (a google web page ranking algorithm) algorithm;

[0073] Step S3, Trajectory Textization: According to the POI data, the functionality of the passenger's coordinates is obtained, and according to the passenger trajectory data and the functionality of the passenger's coordi...

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Abstract

The present invention provides a crowd portrait algorithm based on massive bus data, including the following steps: step S1, data description and preprocessing: obtaining bus card swiping data and POI data, and performing preprocessing; step S2, screening crowds in key areas: through PageRank The algorithm extracts passenger trajectory data with a large number of trips and frequent visits to hot spots; step S3, trajectory textualization: obtain the functionality of the coordinates of the passenger according to the POI data, and obtain the passenger trajectory data and the functionality of the coordinates of the passenger Obtain the text trajectory data of each passenger; step S4, text clustering: use a clustering algorithm to cluster the text trajectory data to obtain crowd portraits. The invention provides data support for multiple application fields such as urban planning and social behavior analysis, facilitates the rational dispatch and construction of urban resources, and better helps management departments and urban builders make optimal decisions on urban construction and development.

Description

technical field [0001] The invention relates to the technical field of crowd portraits, in particular to a crowd portrait algorithm based on massive bus data. Background technique [0002] Modern public transportation technology uses advanced bus card payment system and bus card information database, and records millions of bus travel data every day. The study found that fully mining and utilizing the card swiping data of bus passengers can accurately analyze the daily activities of individuals or groups in the city. These rules can not only effectively help solve the problems of bus route planning and bus company vehicle scheduling in cities, but also provide data support for multiple application fields such as urban planning and social behavior analysis, so as to facilitate the rational scheduling and construction of urban resources and better help Administration and city builders make optimal decisions on city construction and development. [0003] Although the analysis...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/335G06F16/35G06F40/216G06F40/30G06F16/29
CPCG06F16/29G06F16/335G06F16/35G06F40/216G06F40/30
Inventor 张锦张建忠魏叶华罗迅娄小平
Owner HUNAN NORMAL UNIVERSITY