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Human traffic prediction method based on Wifi positioning and cloud data processing technology

A technology of positioning data and prediction methods, applied in the field of cloud data processing, can solve problems such as unmanned flow prediction methods, and achieve the effects of low cost, good data quality, and high transmission rate

Inactive Publication Date: 2015-04-29
HEFEI CITY COULD DATA CENT
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AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the defects of the human flow forecasting method in the prior art, and provide a human flow forecasting method based on Wifi positioning and cloud data processing technology to solve the above problems

Method used

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  • Human traffic prediction method based on Wifi positioning and cloud data processing technology
  • Human traffic prediction method based on Wifi positioning and cloud data processing technology
  • Human traffic prediction method based on Wifi positioning and cloud data processing technology

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Embodiment Construction

[0037] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0038] Such as figure 1 Shown, a kind of people flow prediction method based on Wifi positioning and cloud data processing technology of the present invention, comprises the following steps:

[0039] The first step is to obtain basic data. Wifi hotspots obtain Wifi clients within the statistical period. This period refers to the current period, which can be set according to actual needs, such as 30 minutes. The basic data of this 30 minutes is obtained, and the traffic flow of the next 30 minutes is predicted. Upload the Wifi client data to the Wifi network server, and obtain user positioning data through the Wifi network server. The positioning data includes ID number, longitude, latitude, direction angle and time.

[0040] In prac...

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Abstract

The invention relates to a human traffic prediction method based on a Wifi positioning and cloud data processing technology. Compared with the prior art, the defect that no human traffic prediction method is achieved is overcome. The method includes the following steps of acquiring basic data, uploading the data to a cloud, screening positioning data, matching the positioning data with urban road coordinates and predicting the human traffic. According to the human traffic prediction method, the road segment average movement speed is used as a basic traffic parameter, based on the statistic analysis of a historical database, the average movement speed of an area in a future time period is predicted, and thus the human traffic can be predicted.

Description

technical field [0001] The present invention relates to the technical field of cloud data processing, in particular to a method for predicting the flow of people based on Wifi positioning and cloud data processing technology. Background technique [0002] In daily life, when large-scale activities or venue gatherings are held, the most important issue for organizers is to consider how to avoid excessive concentration of crowds and prevent possible safety accidents. However, in the actual management work, it is found that the concentration of the crowd is not random, but regular, such as the gathering caused by the inability to pass at a certain point in time or a certain road section. So how to predict the flow of people in advance and provide basis and early warning for the organizer's management work will greatly reduce the difficulty of management. At present, it is based on the experience and judgment of managers. Wifi communication has been widely used in daily life, a...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06F17/30H04L29/08
CPCG06Q10/04G06F16/29H04W4/025
Inventor 夏胜效刘胜军
Owner HEFEI CITY COULD DATA CENT
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