Statistical method and system for analyzing passenger flow characteristic information on the basis of mobile communication terminal

Abstract

The invention discloses a statistical method and system for analyzing passenger flow characteristic information on the basis of a mobile communication terminal. The statistical method comprises the following steps: obtaining position information of the mobile communication terminal; performing historical accumulative counting on the position information of the mobile communication terminal to form a position information database; and according to population census and social and economical census data of areas under administration, provided by government departments at various levels, through combination with the position information database of the mobile communication terminal, analyzing the passenger flow statistical characteristic information of each area in corresponding time periods. According to the statistical method for analyzing the passenger flow characteristic information on the basis of the mobile communication terminal, acquired position information data is positioned by use of the mobile terminal and then statistical analysis of passenger flow information characteristics is performed through combination with the population census and social and economic data, such that the method is low in cost and high in accuracy, the sample quantity is large and is close to the quantity of total samples, and passenger flow statistical analysis of any one area in any period can be realized.

Description

technical field [0001] The invention relates to the field of mobile communication value-added services, in particular to a statistical method and system for analyzing passenger flow characteristic information based on mobile communication terminals. Background technique [0002] The collection and statistical analysis of passenger flow data play an important role in modern business analysis, tourism operation and urban public transportation road planning. Statistical analysis of passenger flow data includes statistical analysis of passenger flow within a region and statistical analysis of passenger flow between two or more regions. The former, for example, retailers and shopping centers care about the number of customers who visit the store every day and analyze the trend of increase and decrease to adjust their sales strategies. Furthermore, with the development of big data on the Internet, many large retailers and shopping centers will investigate the source, age distribu...

AI Technical Summary

Problems solved by technology

[0003] Existing techniques for obtaining passenger flow in a certain area include: (1) Human observation and statistics of passenger flow at the entrance, but this method is costly and cannot obtain the distribution of passenger flow within the region

(2) Deploy infrared sensors and pressure sensors at the entrance, but this method cannot distinguish the passenger flow passing through at the same time, and the cost is high, and the internal passenger flow distribution cannot be obtained

(3) Deploy a large number of video surveillance cameras to collect video images of passenger flow and use image recognition technology to analyze passenger flow, but the image recognition algorithm has the disadvantages of low accuracy and high cost

However, these existing methods have the disadvantages of high cost and small sample size

[0004] The existing means of analyzing passenger flow characteristics, including age distribution, source of residence, income, etc., are mainly questionnaire surveys, telephone surveys and online surveys, but these survey methods are costly and the sample size is low

Moreover, it is difficult to investigate the characteristics of passenger flow in different time periods, and it is difficult to extend to any area

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