Section passenger flow calculation method based on mobile phone signaling data

Abstract

The invention discloses a section passenger flow calculation method based on mobile phone signaling data, which comprises the following steps: (1) extracting an original base station track sequence from the mobile phone signaling data, each track point comprising a base station geographic position coordinate and a timestamp, and processing the spatial uncertainty problem of the track by using a hybrid noise reduction algorithm; (2) performing interpolation in the sparse trajectory data from the base station level based on the shortest circuit idea, and complementing the denoised trajectory toobtain a continuous base station trajectory; and (3) based on the definition of the section passenger flow, counting the number of tracks passing through the section, and correcting the estimated value by using a reduction coefficient to obtain the section passenger flow volume. According to the method, noise reduction and completion processing are carried out on the original trajectory data, thenumber of passenger flows passing through sections of any shape and any length within a certain period of time is calculated, and besides starting and ending point information, more accurate trajectory information is used for calculating section passenger flows.

Description

technical field [0001] The invention relates to the application field of traffic big data, in particular to a cross-sectional passenger flow calculation method based on mobile phone signaling data. Background technique [0002] Cross-section passenger flow refers to the number of travelers passing through a specified cross-section (such as rivers, mountains, railway lines, etc.) within a specific time interval. Cross-section passenger flow Understand the change and distribution of road passenger flow in time and space, and calculate the traffic passenger flow, directional imbalance coefficient, peak hour coefficient, and regional exchange volume through calculations, and then study the macroscopic traffic passenger flow change trend in the city , to provide the necessary basis for traffic planning, road construction and management, and engineering economic analysis. [0003] The traditional cross-sectional passenger flow is obtained by manual investigation, and investigator...

AI Technical Summary

Problems solved by technology

[0004] In the existing research on cross-section passenger flow calculation using mobile phone signaling data, travelers passing through the cross-section are defined as travelers whose travel start and end point are on different sides of the cross-section, but this method has short section lengths and unfixed positions. difficult to use

At the same time, the judgment of the origin and destination of travel depends on the time threshold and speed threshold set in advance, and inaccurate threshold selection will cause distortion in the calculation of cross-sectional passenger flow

Images