Railway station passenger flow feature extraction method based on mobile phone signaling

Abstract

The invention relates to a railway station passenger flow feature extraction method based on mobile phone signaling, which comprises the following steps: firstly, setting signaling acquisition base station distribution according to a station research range, and acquiring mobile phone signaling data of passengers in related time periods in a research area; then preprocessing the mobile phone signaling data to enable the mobile phone signaling data to meet passenger flow feature extraction requirements, including signaling data simplification, signaling data de-noising, data sample expansion and railway network base station database construction; and finally, after the passenger travel trajectory is identified, extracting relevant station passenger flow characteristics, including station passenger delivery volume, passenger flow direction and proportion, peak hour passenger flow volume and peak hour coefficient, and the highest gathering number of the station. According to the invention, the mobile phone signaling data of the passengers are collected based on mobile phone positioning, the mobile phone signaling data are cleaned, and the station passenger flow feature extraction technology is designed on the basis of identifying the travel tracks of the passengers and is used for extracting the station railway passenger flow, so that the station passenger flow features are obtained in a low-cost, rapid, wide-coverage and diversified manner.

Description

technical field [0001] The invention relates to the technical field of railway station construction and operation, in particular to a method for extracting passenger flow features at railway stations based on mobile phone signaling. Background technique [0002] Railway station passenger flow is the basic data for rational planning and layout of the station, determining the scale of equipment and facilities, and formulating transportation organization plans. It usually includes the number of passengers sent by the station, the flow direction and proportion of passengers, the number of passengers sent at peak hours and the coefficient of peak hours, and the maximum number of people gathered at the station. At present, the traditional manual survey method and traffic equipment collection method are the main technologies. [0003] Traditional manual survey methods generally use manual observation and counting statistics or sample passenger travel questionnaire surveys to obtain...

AI Technical Summary

Problems solved by technology

Existing methods are costly, involve many people, are difficult to organize, have a long implementation cycle, low coverage, and limited collection capabilities, so it is difficult to apply them on a large scale

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