Intercity migration passenger flow analysis method based on mobile phone big data

A passenger flow analysis and inter-city technology, which is used in the field of obtaining population between cities, which can solve the problems of coarse statistical scale and inability to count short-distance self-driving trips.

Inactive Publication Date: 2016-11-02
上海华企软件有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

These data also have the problem of a relatively coarse statistical scale. At the same time, the civil aviation a

Method used

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  • Intercity migration passenger flow analysis method based on mobile phone big data
  • Intercity migration passenger flow analysis method based on mobile phone big data
  • Intercity migration passenger flow analysis method based on mobile phone big data

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Embodiment Construction

[0062] In order to make the present invention more comprehensible, preferred embodiments are described in detail below with accompanying drawings.

[0063] Step 1. Obtain anonymous encrypted mobile phone data from the communication operator, requiring the data to be continuous in time and space. For each EPID (anonymous one-way encrypted global unique mobile subscriber identification code, EncryPtion internationalmobile subscriber IDentity) within a specified time period Within T, the triggered communication behavior is analyzed for query processing, to determine whether the EPID has cross-city travel behavior within the investigation time range, and query to obtain all communication records of the EPID that has cross-city travel behavior within the investigation time range.

[0064] Step 1.1, mobile phone big data refers to the encrypted location information of anonymous mobile phone users' time series acquired by mobile communication operators in real time from mobile communi...

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Abstract

The invention provides an intercity migration passenger flow analysis method based on mobile phone big data. The massive mobile phone big data are processed and screened so that time-space sequential data of individual traveling are constructed. The traveling mode in the individual migration flow process and the functions of each city are determined through clustering analysis with combination of the determination rules so that the interregional population migration pattern and trend and the played role of each city are analyzed.

Description

technical field [0001] The present invention relates to a method for analyzing population cross-city migration and flow behavior based on massive anonymous encrypted mobile phone individual time series positioning data, constructing individual travel time and space sequence data according to individual time and space position data, and setting discrimination rules to determine the starting city of travel - Destination cities, and tailor the long-term spatial movement sequence of individuals, cluster their travel speeds, identify intermediate node cities and transit point cities in the travel route, and judge their travel modes. The present invention can be used to obtain the flow law and status quo characteristics of population migration between cities, as well as the status and role of each city in the population migration process, for traffic policy evaluation, traffic planning, and multi-regional population, resource and environmental management and coordinated development ...

Claims

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Application Information

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IPC IPC(8): G06Q50/26
CPCG06Q50/26
Inventor 顾高翔刘杰张颖吴佳玲
Owner 上海华企软件有限公司
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