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Population flow prediction method and device based on intelligent decision, and computer equipment

A technology of intelligent decision-making and prediction method, applied in the field of artificial intelligence, can solve the problem of low accuracy of population flow prediction, and achieve the effect of improving accuracy

Active Publication Date: 2020-12-22
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This invention provides an improved method that divides up urban areas based on their location within a specific region or country's borders. It allows users to easily create different types of networks from this division without having to manually adjust them over multiple locations. These connections help predict future populations better than previous methods due to its ability to capture temporal patterns such as movement across various parts of space. Point embeddings also improve accurate community detection techniques like GIS (Geographic Information System).

Problems solved by technology

This patented technical problem addressed by this patents relates to improving accurate community-based traffic simulation predictions for metropolitan areas with complex dynamics such as road networks that are difficult to track accurately due to their complexity.

Method used

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  • Population flow prediction method and device based on intelligent decision, and computer equipment
  • Population flow prediction method and device based on intelligent decision, and computer equipment
  • Population flow prediction method and device based on intelligent decision, and computer equipment

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Embodiment Construction

[0052]Unless otherwise defined, all technical and scientific terms used herein have the same meanings as commonly understood by those skilled in the technical field of the application; the terms used in the specification of the application herein are only for describing specific embodiments. The purpose is not to limit the application; the terms "including" and "having" in the specification and claims of the application and the above-mentioned description of the drawings and any variations thereof are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of the application or the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific sequence.

[0053]Reference to "embodiments" herein means that a specific feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phr...

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Abstract

The embodiment of the invention belongs to the field of artificial intelligence, is applied to the field of intelligent transportation, and relates to a population flow prediction method based on intelligent decision. The method comprises the steps of obtaining an urban map; dividing the city map, and generating a city node network by taking a city region in the city map as a node; acquiring historical population information of each node in the urban node network; calculating historical population information of each node through a graph neural network to obtain spatial features and time sequence features of each node; generating a point embedding vector of each node according to the spatial features and the time sequence features; and generating population flow information based on the point embedding vector; wherein the population flow information serves as a node connecting line to be connected with each node. The invention further provides a population flow prediction device basedon the intelligent decision, computer equipment and a storage medium. In addition, the invention also relates to a blockchain technology, and the historical population information can be stored in theblockchain. According to the invention, the population flow prediction accuracy is improved.

Description

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Claims

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Application Information

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Owner PING AN TECH (SHENZHEN) CO LTD
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