Spatio-temporal data based moving object similarity calculation method and system

Abstract

The invention discloses a spatio-temporal data based moving object similarity calculation method and system. The method is to discover similarity of moving objects by mainly utilizing the track data of the moving objects such as pedestrians and users based on information such as positions and paths of the activities of the moving objects. The spatio-temporal data based moving object similarity calculation method comprises two parts as follows: the first part of sequencing spatio-temporal tracks by utilizing a pre-defined activity hotspot and converting an original track point sequence into an activity sequence; and the second part of discovering an activity rule of the moving objects by utilizing the activity sequence of the moving objects obtained in the first part and further calculating the integral activity habit similarity of the moving objects. The system comprises three modules as follows: a track data uploading module, a track sequencing module and a moving object similarity calculation module. The spatio-temporal data based moving object similarity calculation method and system have wide application foreground in multiple fields such as precise advertisement recommendation, intelligent traffic management and urban position service.

Description

technical field [0001] The invention belongs to the field of information technology, in particular to a method and system for calculating the similarity of moving objects based on spatio-temporal data. Background technique [0002] In recent years, with the continuous development and wide application of wireless communication technologies such as RFID and GPS, various moving objects around the world can be effectively located and tracked, resulting in a large amount of moving object trajectory data, and these data There is a wealth of information in it, which urgently needs researchers to expand and analyze it. A moving object spatiotemporal trajectory is a sequence that records the location, properties, and time of a moving object. Time, space, and attribute are the three basic characteristics of geographic phenomena, and they are also the three basic data components of GIS databases. Although in essence, the trajectory of a moving object is continuous; however, acquisiti...

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Problems solved by technology

[0004] In order to solve the problem that the existing methods generally ignore the activity characteristics of moving objects, the present invention discloses a moving object similarity calculation system based on spatio-temporal data, including a trajectory data loading module, a trajectory serialization module and a moving object similarity calculation module;

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