A method and device for identifying a user track

Abstract

The invention discloses a user track identification method. The user track identification method comprises the following steps of: obtaining a base station position point sequence of a service occurred in each user terminal within a pre-set time slot and a corresponding time point sequence; identifying the moving starting point of the user terminal every time, the corresponding time point and end point and the corresponding time point from the base station position point sequence and the corresponding time point sequence; and obtaining the user track in the pre-set time slot according to all starting points, the corresponding time point and end point and the corresponding time point. The invention further discloses a user track identification device. By means of the embodiment of the invention, the user track identification efficiency can be increased; and furthermore, the cost is low.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to a method and device for identifying a user trajectory. Background technique [0002] At present, the vast majority of studies based on mobile user trajectory tracking track user trajectory changes through GPS positioning. However, using the GPS positioning method to calculate the user's travel trajectory will have the following defects: first, the cost of GPS measurement and calculation is high, and because the GPS points are dense, additional data preprocessing methods are required to identify drift points; There are relatively few users or vehicle-mounted devices, and it is difficult to fully reflect the travel patterns of residents in the entire city; third, GPS cannot record the location of users staying indoors, so it cannot identify indoor staying behavior; fourth, in densely populated urban areas , the error of GPS measurement will become larger. Therefore, ...

AI Technical Summary

Problems solved by technology

However, using the GPS positioning method to calculate the user's travel trajectory will have the following defects: first, the cost of GPS measurement and calculation is high, and because the GPS points are dense, additional data preprocessing methods are required to identify drift points; There are relatively few users or vehicle-mounted devices, and it is difficult to fully reflect the travel patterns of residents in the entire city; third, GPS cannot record the location of users staying indoors, so it cannot identify indoor staying behavior; fourth, in densely populated urban areas , the error of GPS measurement will become larger

Therefore, the use of GPS positioning methods to identify user trajectories is highly complex and inefficient

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