Commercial vehicle subdivision market identification method and device based on Internet of Vehicles, and medium

Abstract

The invention discloses a commercial vehicle subdivision market identification method and device based on the Internet of Vehicles, and a medium. The method comprises the following steps: acquiring a plurality of target parking positions, with loading and unloading behaviors, of a commercial vehicle; obtaining a related position point radiated by each target parking position in the plurality of target parking positions, and determining a subdivided market and an initial weight to which the commercial vehicle belongs at each target parking position according to the subdivided market and the weight corresponding to the related position point; calculating the support degree of each subdivided market by adopting an association rule algorithm according to the subdivided market to which the commercial vehicle belongs at each target parking position and the initial weight; and according to the support degree of each subdivided market and the number of the associated position points corresponding to each subdivided market, identifying the subdivided market to which the commercial vehicle belongs and the final weight. The invention provides an efficient and accurate commercial vehicle subdivision market identification scheme.

Description

technical field [0001] The present invention relates to the technical field of data mining, in particular to a method, device and medium for identifying commercial vehicle market segments based on Internet of Vehicles. Background technique [0002] With changes in potential customer needs and usage scenarios in the commercial vehicle industry, changes in marketing structure, and technological innovations brought about by digital transformation, commercial vehicles have entered the era of strong competition, and the traditional extensive growth mode no longer exists. Enterprises are faced with the important issue of how to quickly judge and deepen the usage scenarios of commercial vehicles, that is, "market segmentation", in order to achieve market segment positioning, planning and iterative product functions, reduce operating costs, and tap the post-market value of car owners' needs , looking for new value-added space and other goals. [0003] Take trucks as an example. At ...

AI Technical Summary

Problems solved by technology

However, due to the fact that the same model of vehicle corresponds to multiple market segments, there are non-systematic errors in the survey, the follow-up visits cannot cover the full amount, and the lagging of the survey results, etc., resulting in low market segment judgment accuracy, high time and manpower input costs, and Problems such as poor timeliness of definitions and changes

As a result, enterprises are faced with the following problems: it is difficult to judge the whereabouts of sales; it is difficult to find typical vehicles; it is difficult to locate sales problems, and it is difficult to scientifically evaluate products and services;

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