Traveling hot line identification method based on mobile signaling

Abstract

The invention relates to a large data analysis technology in the field of mobile communication, and provides a traveling hot line identification method based on mobile signaling. The method comprises the steps that various signaling events generated by a user's mobile phone in a mobile network are collected; the collected signaling events are classified according to the attributive relation of a base station geographical position and the geographical position information of a target traveling place, so as to form time-related tourist number set of the target traveling place; and the ranking of the number of tourists is combined with a corresponding traffic reachable line, so as to generate a target traveling place hot line. According to the invention, the spatial association relationship among a mobile communication base station, a scenic spot and other places is used to carry out data mining, analysis and integration; the hot traveling line based on the given traveling destination is calculated, which is real-time and targeted; the method cased on the existing mobile network has the advantages of low reinvestment cost and easy deploying; an accurate data support is provided for the design of the traveling line; and large data application of mobile signaling is expanded.

Description

technical field [0001] The invention belongs to the big data analysis technology in the field of mobile communication, and in particular relates to the analysis and identification technology of tourist popular routes based on mobile communication signaling events. Background technique [0002] my country's tourism industry has a very important position in the national economy. With the development of society and economy, this industry has also developed vigorously. In the tourism industry, designing a good tourist route can not only bring more tourists to travel agencies or other tourism operators, but also bring them better economic benefits. Tourism routes are an important part of tourism products and an important link connecting tourists, tourism enterprises and related departments, and tourism destinations. [0003] In traditional tourist itinerary design, each travel agency often formulates its own tourist itinerary based on principles such as market demand, destinatio...

AI Technical Summary

Problems solved by technology

However, this method mainly has the following problems: (1) No accurate data support: Most tourist routes are arranged and designed based on the characteristics of scenic spots and seasonal characteristics, without accurate data support and basis

(2) The real-time nature of tourist routes: most of the tourist routes are formulated based on historical information, such as scenic spot ticket information, etc., which cannot immediately reflect the recent actual situation of tourist destinations

(3) Tourist information for multiple tourist destinations: Each travel agency has different sources of information for multiple tourist destinations, and there are certain discrepancies in the information, which brings uncertainties to the design of tourist routes

Images