Method, device and storage medium for matching mobile hotspot and mobile point of interest

Abstract

A method, a computer device and a storage medium for matching a mobile hotspot with a mobile point of interest are proposed. The method includes: dividing a spatial region into a plurality of grid cells of a predetermined size, and generating an index for each of the plurality of grid cells; for each mobile POI of a plurality of mobile POIs in the spatial region, determining respectively indexes of grid cells through which a transport route of the mobile POI passes, to obtain a first index encoding result of the mobile POI, the mobile POI being a transport vehicle having a fixed commuting route; for a mobile hotspot in the spatial region, obtaining a movement trajectory of the mobile hotspot, determining respectively indexes of grid cells through which the movement trajectory passes, to obtaining a second index encoding result of the mobile hotspot; matching the mobile hotspot with a mobile POI of the plurality of mobile POIs according to a similarity between the first index encoding result and the second index encoding result. The technical solutions of the present disclosure may be applied to reduce the implementation cost and improve the processing efficiency and the accuracy of the processing result.

Description

【Technical field】 [0001] The invention relates to computer application technology, in particular to a matching method, device and storage medium of a mobile hotspot and a mobile point of interest. 【Background technique】 [0002] In practical applications, it is necessary to establish a mapping relationship between mobile hotspots and mobile POIs (Point of Interest), that is, to match mobile hotspots with mobile POIs, and determine mobile POIs corresponding to different mobile hotspots. Mobile POIs refer to vehicles with fixed commuting routes, such as bus No. 112, subway line 13, etc. [0003] Based on the above mapping relationship, the characteristics or data of mobile hotspots can be used to explore the characteristics of transportation tools, such as real-time buses, real-time subways, etc., and users can scan mobile hotspot information to determine the user's travel mode and make user portraits. [0004] At present, the following methods are mainly used to establish th...

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Problems solved by technology

[0005] However, in the above method 1), special personnel need to be hired, and equipment and training need to be provided, so the implementation cost is relatively high, and the number of hired personnel is limited, and it takes a long time to cover major cities and business districts, which is inefficient

In the above method 2), due to the different professional qualities of crowdsourcing users, the accuracy of the uploaded data is difficult to guarantee

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