Special crowd action trajectory collection method and system based on decision tree

Abstract

The invention discloses a special crowd action trajectory collection method based on a decision tree. The method comprises the steps: obtaining a first special user; client payment information of the first special user is obtained; obtaining first node payment information and second node payment information; obtaining first distance information, first position distribution information and first traffic flow information between the first node and the second node; respectively taking the first distance information as a first trajectory prediction feature, the first position distribution information as a second trajectory prediction feature, and the first traffic flow information as a third trajectory prediction feature; constructing an action track prediction collection decision tree of the first special user; and track prediction and collection are carried out on the first special user. The technical problem that in the prior art, a decision tree algorithm cannot be combined to comprehensively and accurately track the action track of a special crowd, so that statistical data are incomplete, and then decision release is affected is solved.

Description

technical field [0001] The present invention relates to the technical field of data collection, in particular to a method and system for collecting action trajectories of special groups of people based on decision trees. Background technique [0002] In the event of an epidemic, the movement of the crowd may cause the virus to spread wildly, seriously endangering people's lives and health. Therefore, a full range of movement trajectory tracking and collection should be carried out for special groups of people who suffer from the disease but have no symptoms to ensure real-time Grasp the transmission dynamics of epidemic diseases, so as to make corresponding countermeasures. [0003] However, in the process of realizing the technical solution of the invention in the embodiment of the present application, the inventor of the present application found that the above-mentioned technology has at least the following technical problems: [0004] In the existing technology, there i...

AI Technical Summary

Problems solved by technology

[0005] In view of the deficiencies in the prior art, the purpose of the embodiment of the present application is to provide a method and system for collecting action trajectories of special groups based on a decision tree, which solves the problem in the prior art that the decision tree algorithm cannot be combined with the actions of special groups of people. The comprehensive and accurate tracking of the trajectory makes the statistical data incomplete, which in turn affects the technical issues of decision-making and release

Images