Destination population prediction method and device and storage medium

Abstract

The invention discloses a destination population prediction method, and the method comprises the steps: setting a reference position, and constructing a Thiessen polygon network of a to-be-predicted region according to the reference position; recording all feasible paths from the starting point to the destination point in the range of the to-be-predicted region; according to the original total population quantity of the destination point and the population quantity among all the feasible paths, calculating a probability value from the population starting from the starting point to the destination point; and obtaining the total population quantity of the destination point at the target moment according to the original total population quantity of the starting point, the original total population quantity of the destination point, the outflow population quantity of the destination point and the probability value. According to the method for predicting the population quantity of the destination, the population quantity of the destination can be predicted based on dynamic data, the population flowing situation is reflected in the prediction process, and the accuracy of destination population prediction is improved. The embodiment of the invention further discloses a device for predicting the population quantity of the destination and a storage medium.

Description

technical field [0001] The present invention relates to the technical field of population prediction, in particular to a method, device and storage medium for predicting the population of a destination point. Background technique [0002] With the development of society and the growth of population, it is possible to obtain big data for current mobile users, and it has become possible to construct a space interaction traffic matrix by using the flow of mobile users' population and people in the absence of space. [0003] In the prior art, models for predicting the population include: an intervention opportunity model, a population weight opportunity model, a radiation model, and the like. [0004] The inventor finds in the process of implementing the present invention that there are the following technical problems in the prior art: [0005] The intervention opportunity model, the population weight opportunity model, and the radiation model are all based on the assumption t...

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Problems solved by technology

[0005] The intervention opportunity model, the population weight opportunity model, and the radiation model are all based on an individual's decision on the distance, spatial distance, and population distribution of the destination. Therefore, the predicted model is a static model based on static data, which cannot reflect the population. Flow

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