A Location-Based Service-Based Method for Predicting Passenger Flow in Scenic Spots

Abstract

The invention discloses a method for predicting passenger flow of scenic regions on the basis of location service, and belongs to the technical field of network communication. The method includes extracting location information of all users in the ranges of base stations in the scenic regions from user location information tables of mobile network operation servers and respectively counting the mobile terminal user numbers in the ranges of the base stations in the scenic regions within different time frames on a daily basis; training BP (back-propagation) neural networks by the aid of training samples which are mobile terminal user numbers in the ranges of the base stations in the scenic regions within different time frames on multiple historical days and historical passenger flow of the scenic regions, inputting the mobile terminal user numbers in the ranges of the base stations in the scenic regions within the different time frames on the daily basis into the BP neural networks and outputting the historical passenger flow of the scenic regions on the corresponding days from the BP neural networks; inputting mobile terminal user numbers in the ranges of the base stations in the scenic regions within different time frames on to-be-predicted days into the trained BP neural networks and outputting the passenger flow of the scenic regions on the to-be-predicted days by the BP neural networks. The method has the advantage that the passenger flow of the scenic regions can be accurately predicted by the aid of the location information of the mobile terminal users.

Description

technical field [0001] The invention relates to a method for predicting passenger flow in a scenic spot based on location services, and belongs to the technical field of network communication. Background technique [0002] In order to create a better and safer tourism environment for tourists, the China National Tourism Administration has issued a series of measures to strictly control the flow of tourists. For example, if the number of tourists in scenic spots exceeds 80%, the flow will be limited, and ticket sales will be stopped when the maximum capacity is reached. In order to avoid false reporting of tourist flow by each scenic spot or errors in aggregated data, it is often necessary to accurately predict the tourist flow of each target scenic spot. [0003] With the continuous development of mobile technology, mobile terminals and networks have been widely used in the current society. Most users already have one or more mobile terminals, and the network they use has al...

AI Technical Summary

Problems solved by technology

The invention monitors the number of active users in the mobile network cells covering scenic spots through location update messages in the communication network, which must be changed on the operator's base station (that is, setting the switching area), and through a preset mobile user penetration rate to finally estimate the number of all tourists. Since there are multiple operators in the current network, the implementation workload of this technical solution is relatively large, and the accuracy of the statistical results is low.

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