A method for obtaining residents' travel od based on mobile phone signaling data

Abstract

The invention discloses a resident trip OD (Origin Destination) acquisition method based on mobile phone signaling data. The method comprises the step of analyzing time-space position information in user mobile phone signaling data to recognize move and stop behaviors of a user, thus determining trip end points; and the method specifically comprises the steps of acquiring and preprocessing mobile phone signaling data according to the investigation requirement, judging the motion state of a position point, and performing zonal statistics and result sampling expansion. The method has the advantages of large investigation samples, low implementation cost, long-term continuous monitoring and the like, and can provide a technical support for acquiring large-range accurate and reliable resident trip OD data in traffic demand analysis and traffic planning making.

Description

technical field [0001] The invention relates to a method for obtaining OD (traffic origin and destination, the same below) of residents' travel based on mobile phone signaling data, which is used for travel research of urban residents and belongs to the technical field of analysis and application of traffic big data. Background technique [0002] Traffic demand analysis and traffic planning formulation need to obtain large-scale accurate and reliable residents' travel OD data as basic information. At present, in traffic surveys, the methods for obtaining residents’ travel OD are mainly divided into two categories: First, traditional residents’ travel surveys often use roadside questionnaires, household interviews, etc., which have the disadvantages of low sampling rate, high survey cost, and data processing cycle. Waiting question. Second, fixed-point information collection technologies such as induction coils, microwave detection, and video image recognition, as well as fl...

AI Technical Summary

Problems solved by technology

At present, in traffic surveys, the methods for obtaining residents’ travel OD are mainly divided into two categories: First, traditional residents’ travel surveys often use roadside questionnaires, household interviews, etc., which have the disadvantages of low sampling rate, high survey cost, and data processing cycle. long wait question

Second, fixed-point information collection technologies such as induction coils, microwave detection, and video image recognition, as well as floating information collection technologies such as GPS floating vehicles and electronic tags, are used to deduce residents’ travel OD information based on detected traffic flow information, which is less accurate. And due to the complexity of its allocation algorithm, it is difficult to use in a large space range

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