Resident travel survey comprehensive sample expanding and checking method based on combination of big data and traditional method

A big data and combined technology, applied in the direction of electronic digital data processing, special data processing applications, traffic control systems, etc., can solve the problems of urban travel volume misjudgment, unfavorable traffic resource allocation balance, and travel purpose expansion. And other issues

Inactive Publication Date: 2018-10-09
广州市交通规划研究院
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Problems solved by technology

[0005] 1) The travel rate is underestimated (silent travel) due to missing filling, which leads to misjudgment of the travel volume of the entire city, which in turn affects a series of major issues such as the planning and construction of urban transportation facilities
[0006] 2) Due to the time difference between non-commuter travel and commuter travel, the underreporting of non-commuter travel leads to inaccurate travel time distribution of combined expansion, such as figure 2 As shown, the scale of peak travel is expanded, and the scale of off-peak travel is reduc

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  • Resident travel survey comprehensive sample expanding and checking method based on combination of big data and traditional method
  • Resident travel survey comprehensive sample expanding and checking method based on combination of big data and traditional method
  • Resident travel survey comprehensive sample expanding and checking method based on combination of big data and traditional method

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[0055] The present invention will be further described below in conjunction with specific examples, but the present invention is not limited to these specific implementations. Those skilled in the art will realize that the present invention covers all alternatives, modifications and equivalents as may be included within the scope of the claims.

[0056] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0057] The present invention is a method for comprehensive expansion and verification of residents' travel survey based on the combination of big data and traditional methods, in which the data to be used are as follows:

[0058] 1) Big data: it is multi-source big data, which can include mobile phone signaling data ( image 3 Examples are China Unicom signaling data) and Internet access data ( image 3 Examples are Tencent data), GPS data, IC card data, highway toll data and checkpoint data, etc.;

[0059]...

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Abstract

The invention provides a resident travel survey comprehensive sample expanding and checking method based on the combination of big data and a traditional method. The method comprises the following steps: step 1, carrying out overall preliminary checking work by utilizing multi-source big data; step 2, carrying out the classified checking operation: carrying out the classified checking operation onpreliminarily corrected travel features according to two types of travel features, namely commuting travel and non-commuting travel; step 3, re-correcting the overall constraint: re-correcting the overall constraint of travel data after being subjected to the classified checking operation. According to the invention, based on the large-sample or quasi-full-sample characteristics of multi-source big data, the silent travel can be conveniently excavated, so that most real resident travel characteristics are restored. In addition, the real-time performance and the accuracy of big data are utilized, so that the comprehensive sample expansion of a resident travel survey is more accurate and more timely.

Description

technical field [0001] The invention relates to a method for comprehensive sample expansion and checking of residents' travel survey based on the combination of big data and traditional methods, and belongs to the technical field of traffic management statistics. Background technique [0002] Resident travel survey is an important measure to solve how to obtain the basic data of current traffic problems in major cities. The main purpose is to grasp the travel characteristics of urban residents and provide basic data for the establishment of urban traffic planning models, thereby providing support for scientific and reasonable urban traffic planning and policy formulation, and guiding the sound development of urban traffic. The most commonly used method of resident travel survey is household survey. Its working method is that the investigators make an appointment in advance with the interviewed households, and visit the households at the appointed time. investigation. The m...

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Application Information

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IPC IPC(8): G08G1/01G06F17/30
CPCG08G1/0104G08G1/0125
Inventor 马小毅景国胜宋程刘明敏金安陈先龙陈嘉超丁晨滋徐良
Owner 广州市交通规划研究院
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