Spatio-temporal trajectory data processing method, device and computer storage medium

Abstract

The application discloses a spatio-temporal trajectory data processing method, device and computer storage medium, belonging to the field of data processing. The method includes: acquiring first space-time trajectory data, the first space-time trajectory data including trajectory point information of multiple trajectory points; The moving speed between two track points, and the traffic status of each track point; according to the moving speed between two track points adjacent to the corresponding time point in multiple track points, and the traffic status of each track point, determine An abnormal track point among the plurality of track points; deleting the track point information of the abnormal track point in the first space-time track data to obtain the second space-time track data. When the spatio-temporal trajectory data has a large error, the abnormal points of the spatio-temporal trajectory data are removed first, and then the second spatio-temporal trajectory data is filtered, which can more effectively remove the noise points in the data and improve the accuracy of data processing.

Description

Method, device and computer storage medium for processing spatiotemporal trajectory data technical field The application relates to the field of data processing, in particular to a processing method, device and calculation of a kind of spatiotemporal trajectory data computer storage medium. Background technique [0002] The spatiotemporal trajectory data refers to the data obtained by sampling the motion process of the moving object under the spatiotemporal environment. Data, used to indicate the trajectory of moving objects, is the most important data source for studying moving objects, and can be applied to trajectory Trace retrieval, trajectory classification, pattern mining and other trajectory analysis scenarios. In practical applications, the positioning device can be used to collect the position of a plurality of trajectory points of the moving object in the moving process. The location information of these multiple trajectory points is composed of spatiotempo...

AI Technical Summary

Problems solved by technology

However, in the actual acquisition, the sensor error of the positioning device and other reasons may cause a certain deviation between the position information of the collected track points and the position information of the real track points, which will lead to the fact that the space-time track data cannot accurately reflect the movement process of the moving object. It is necessary to perform certain processing on the spatio-temporal trajectory data to reduce the data error of the spatio-temporal trajectory data

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