Mining method of user commuting od in mobile phone call data

A technology of call data and number of calls, which is applied in the field of computer technology and mobile communication, can solve the problems of strong subjectivity, cost tens of thousands or even hundreds of thousands, and small coverage, so as to save manpower, financial and material resources, accurate and reliable information, Use significant effects

Inactive Publication Date: 2011-12-14
PEKING UNIV
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AI Technical Summary

Problems solved by technology

[0005] 2. The investigation process is cumbersome and expensive
Traffic surveys need to consume a lot of manpower, material and financial resources. Even for some urban populations, it often takes tens of thousands or even hundreds of thousands of funds to investigate the traffic travel data of tens of thousands of people.
Moreover, due to the periodicity of traffic surveys, large-scale traffic surveys need to be carried out periodically, so this type of survey data needs to be obtained repea

Method used

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  • Mining method of user commuting od in mobile phone call data
  • Mining method of user commuting od in mobile phone call data
  • Mining method of user commuting od in mobile phone call data

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Experimental program
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Embodiment Construction

[0048] as attached figure 1 As shown, the method of the present invention is divided into four steps: data preprocessing, counting the number of call positions, space merging optimization, and time merging optimization.

[0049] 1. Data preprocessing

[0050] The purpose of data preprocessing is to process the mobile phone call data that needs to be recorded due to billing into the data form required to find large-scale urban commuting OD (also called data preprocessing).

[0051] In order to protect the privacy of users, the original mobile phone call records we get are encrypted with the user's mobile phone number. The original 13-digit mobile phone number is represented as 20 digits. The user's mobile phone number encrypted by this encryption method can only be used to distinguish users, and cannot reversely decrypt the user's real mobile phone number. Therefore, all user information is protected, and user privacy will not be leaked. In the data preprocessing stage, the ...

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Abstract

The invention discloses a method for mining user commuting OD in mobile phone call data. The number of calls of each mobile phone number in different base station locations; 3) Combine adjacent call base stations with overlapping coverage into one base station area, and count the number of calls of each mobile phone number in the base station area; 4) According to the number of calls of each mobile phone number in the base station area The number of calls determines the residence and work of the user of the mobile phone number, and the base station area with a high number of calls is the residence or work of the user. The method of the invention can obtain the commuting OD information of large-scale people, and has a wide coverage; because the data used is mobile phone call data, the cost is low; because the base station is used as the location unit, and the coverage of the base station is small, the obtained data information The granularity of the information obtained by the method of traditional commuter OD survey is finer.

Description

technical field [0001] The invention belongs to the field of computer technology and mobile communication technology, and relates to a method for mining user commuting OD by using mobile communication data. Background technique [0002] Commuting travel is the most basic and important travel for urban residents. It is a travel produced by the spatial separation of the place of residence and the place of work, and is an inevitable phenomenon in an industrialized society. Compared with other trips, commuting travel has greater invariance in time and space, and its timing affects other activities and trips of urban residents. So in a sense commuting is the basis for other activities. Especially with the expansion of the scope of employment of urban residents, commuting travel presents the characteristics of large-scale quantity, complex form, and centralized time and space. The traffic congestion in the city's morning and evening peaks caused by the concentration of time and ...

Claims

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Application Information

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IPC IPC(8): H04W4/02G06F17/30
Inventor 黄文灏谢昆青董正斌宋国杰
Owner PEKING UNIV
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