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A stop point extraction method based on mobile phone positioning data

A technology of positioning data and extraction method, which is applied in the direction of location information-based services, wireless communication, electrical components, etc., can solve the problems of less missing data, obvious discreteness of positioning data, misjudgment, etc., and achieve accurate recognition results and valid data The effect of reference

Active Publication Date: 2020-06-05
景致惠通工程咨询(武汉)有限公司
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Problems solved by technology

The above method is not applicable to the identification of the stay point by the positioning data obtained through the positioning method of the mobile phone, because the positioning method of the mobile phone adopts hybrid positioning, and when the GPS positioning cannot meet the demand, the base station positioning and WIFI positioning will be used, resulting in There are few missing data in the collected data, and the user can basically turn on the phone all day without turning off the positioning function.
Due to the obvious discreteness of the indoor positioning data, which is quite different from the outdoor positioning data, the clustering method will misjudgment the two kinds of stay points.

Method used

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  • A stop point extraction method based on mobile phone positioning data
  • A stop point extraction method based on mobile phone positioning data
  • A stop point extraction method based on mobile phone positioning data

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Embodiment Construction

[0048] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] Such as figure 1 As shown, the method for extracting the stop point based on the mobile phone positioning data includes the following steps:

[0050] Step 1: Traversing the positioning data after projection transformation, judging two points at a time, if the positioning drift error of the previous point is less than the threshold and the positioning drift error of the next point is greater than the threshold, it is considered that the point may be before entering the room Discontinuity;

[0051] Step 2: Take the mutation point as the starting point, start to calculate the positioning drift error and speed of all p...

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Abstract

The invention discloses a stay point extraction method based on mobile phone positioning data, which is a method for automatic identification of resident stay points according to positioning data acquired by a mobile phone, gyroscope data and personal social and economic attribute data. The method is characterized in that the positioning data acquired by the mobile phone is firstly preprocessed, and indoor and outdoor stay points during travels are then found out according to signal intensity changes, speeds, accelerated speeds, distances and point densities and through the analytic hierarchy process. The method provided by the invention has the advantages that the smart phone, hybrid positioning and other technologies are combined to conveniently and comprehensively acquire travel track data and the personal social and economic attribute data of a traveler; based on mobile phone positioning precision changes, a sliding window method, semantic analysis and other methods, the stay points of the traveler can be practically divided; and therefore, compared with various prior arts, the method can achieve higher accuracy in obtaining the resident stay points, so that effective data references can be provided for transportation planning and transportation demand forecasting.

Description

technical field [0001] The invention relates to the field of traffic planning, in particular to a method for extracting stop points based on mobile phone positioning data. Background technique [0002] Travel activities are of great value in transportation. Travel activity data is an important basic information for traffic demand analysis and formulation of traffic planning. It is an important parameter reflecting the spatial distribution of travel demand. The traffic allocation model also requires an accurate activity matrix as input. Due to the limitations of traditional resident travel surveys and roadside inquiries, it is difficult to obtain high-quality activity data in practical applications. Therefore, traditional travel activity data survey methods cannot accurately reflect the actual situation of traffic travel. , which is not conducive to the reasonable formulation of traffic planning. With the emergence of mobile phone positioning technology and the rapid growth ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/029H04W4/02H04W64/00
CPCH04W4/027H04W64/00H04W64/006
Inventor 钟鸣邓博
Owner 景致惠通工程咨询(武汉)有限公司
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