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Population identifying method based on cellular signal data

A technology of mobile phone signaling and identification methods, which is applied in database indexing, structured data retrieval, electronic digital data processing, etc., can solve problems such as unknown, and achieve the effect of high precision and fast processing speed

Active Publication Date: 2017-09-05
BEIJING TRANSPORTATION INFORMATION CENT
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Problems solved by technology

[0005] There is no relevant literature report

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  • Population identifying method based on cellular signal data
  • Population identifying method based on cellular signal data
  • Population identifying method based on cellular signal data

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Embodiment Construction

[0037] In order to make the technical problems, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0038] In the preprocessing stage, the population identification method provided by the embodiment of the present invention quickly extracts useful fields in the signaling data of the mobile phone, and forms a data storage format with user ID (user unique identifier) ​​as the key, which is convenient for subsequent data cleaning and stop points cluster analysis.

[0039] Such as figure 1 As shown, the flow chart of the method for identifying permanent population, employed population and short-term foreign population based on mobile phone signaling data provided by the embodiment of the present invention includes:

[0040] Step 101, preprocessing the signaling data of the mobile phone.

[0041] Due to the large amount of mobile phone signaling data p...

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Abstract

The invention discloses a population identifying method based on cellular signal data and belongs to the field of traffic planning data analysis. The method comprises: (1) preprocessing cellular signaling data to quickly extract available fields so as to form a storage format that uses a user ID (identifier) as a key field; (2) sorting by time, mobile positions of users, and denoising by a speed and angle anomaly judging method; (3) using the DBSCAN (density-based spatial clustering of applications with noise) algorithm to form a dense point, and identifying each user's all daily retention points and retention start and stop times; (4) classifying the retention points monthly to identify permanent population, employed population and short-term floating population. The method of the invention makes full use of cellular signaling data and quickly and accurately calculates, via the above steps, the permanent population, employed population and short-term floating population, thereby providing data support for urban population monitoring and traffic planning.

Description

technical field [0001] The invention belongs to the field of traffic planning data analysis, in particular to a population identification method based on mobile phone signaling data. Background technique [0002] The data of resident population, employed population and short-term immigrant population are important parameters to reflect travel demand, and are the scientific basis for transportation planning, urban construction and urban management. At present, with the acceleration of urban construction and the continuous improvement of functions, people have put forward higher requirements for urban traffic planning, construction and management. Traditional methods of obtaining data on permanent residents, employed population, and short-term migrant population mainly rely on manual surveys such as household surveys, roadside inquiries, form surveys, vehicle license plate and monthly ticket surveys, which have low sampling rates, long cycles, and human and financial resources...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62H04M1/725
CPCG06F16/22H04M1/724G06F18/23
Inventor 王家川吴东东石睿轩肖冉东王伟杜勇于海涛
Owner BEIJING TRANSPORTATION INFORMATION CENT
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