A Real-time Prediction Method of Human Flow Retention in Macro Region

A forecasting method and technology of holding quantity, applied in the field of people flow detection and evaluation algorithm, can solve the problems of inability to predict the flow, unable to make global statistics, unable to meet the management needs of people flow detection, prediction, etc., so as to promote development and fill applications. blank effect

Active Publication Date: 2021-08-03
南京极行信息科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] However, despite the deployment of a variety of equipment, the detection and prediction of the flow of people still cannot meet the management needs. For example, the entrance and exit gates can only record the total reservation in the scenic area, but cannot record the number of people scattered in various scenic spots. Although the flow of people and video can be clearly visualized, and even the number of people can be identified through image recognition, it cannot achieve full coverage, and naturally it is impossible to make global statistics, let alone estimate the traffic.

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  • A Real-time Prediction Method of Human Flow Retention in Macro Region

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Embodiment Construction

[0032] The present invention will be further illustrated below in conjunction with the accompanying drawings and specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. After reading the present invention, those skilled in the art all fall into the appended claims of the present application to the amendments of various equivalent forms of the present invention limited range.

[0033] Step 1: Collect the complete data of the complete time period (T-Δkt), divide the data segment into k segments with the time difference Δt as the cycle, and express the complete data of each segment as in Indicates the data of the i-th extension of the j-th subnet;

[0034] Step 2: Slice the data and extract and analyze the complete data of the local area S and time period (T-Δkt)

[0035] Step 3: Map the physical space location, corresponding to the deployed sub-...

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Abstract

The invention discloses a method for predicting the number of people in real time in a macro region, which includes a plurality of detection sub-networks deployed within the macro region according to physical space and a remote background server, the detection sub-network includes several extensions, and A host connected to the extension data; the extension collects the broadcast data packets randomly sent to the surrounding environment by the mobile terminal equipment within the coverage area of ​​the extension through the wireless passive sensing mode, and screens the mobile terminal equipment in it. Retrieve the data packets of ID information, analyze the data, realize the accurate prediction of the number of people in the area, and promote the development of the field of intelligent transportation.

Description

technical field [0001] The invention belongs to mobile intelligent Internet technology, and in particular relates to detection and evaluation algorithms of crowd flow in scenic spots and the like. Background technique [0002] Regional traffic data is an important source of information for smart campuses, smart scenic spots, and smart cities. It can provide decision-making assistance for regional population density assessment, regional population changes, and traffic induction. [0003] With the rapid development of my country's economy and technology, in order to better manage campuses, scenic spots, towns and other areas where people travel in their daily lives, and improve the convenience and happiness of people's life and travel, building smart campuses, smart scenic spots, and smart cities has become a future development new trend. [0004] In the construction process of smart campuses and smart cities, the dynamic monitoring, estimation, and trend detection, prediction...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W8/22G06Q10/04H04W4/06G07C9/00
CPCG06Q10/04G07C9/00H04W4/06H04W8/22
Inventor 胡小磊丁璠谭华春寿光明陈晓轩
Owner 南京极行信息科技有限公司
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