Method for predicting human flow and establishing a human flow prediction model and related equipment

A technology of people flow and flow, applied in the field of communication, can solve the problems of narrow coverage of source data and high maintenance cost of data collection equipment

Active Publication Date: 2019-03-19
CHINA MOBILEHANGZHOUINFORMATION TECH CO LTD +1
View PDF7 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is used to accurately predict the total flow of people in urban hot spots, and to solve the problems o...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for predicting human flow and establishing a human flow prediction model and related equipment
  • Method for predicting human flow and establishing a human flow prediction model and related equipment
  • Method for predicting human flow and establishing a human flow prediction model and related equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0192] The method in the embodiment of the present application can be applied to a mobile communication device, and specifically can be applied to a background server. The following uses the method in the background server to describe the embodiment of the present application in detail.

[0193] In order to achieve accurate prediction of the total flow of people in urban hot spots, and to solve the problems of narrow source data coverage and high maintenance costs of data acquisition equipment in the existing technology. In the embodiment of the present application, the background server determines the target area and at least one reference area that has an impact on the total flow of people in the target area, and then, the background server obtains the total flow of people in at least one reference area at the first moment based on the movement data, and inputs the preset The target autoregressive moving average model (Auto-Regressive Moving Average Mode, ARMA) is set to pred...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the field of communication, and discloses a method for predicting human flow and establishing a human flow prediction model and related equipment. Aiming to achieve accurate forecasting of the total flow of people in hot spots, the method comprises the following steps: determining a target area and at least one reference area which has influence on the total human flow ofthe target area; obtaining the total human flow of the at least one reference area at the first time based on the moving data; and predicting the total human flow of the target area at the second timein the future according to the target ARMA model; and determining the target area and at least one reference area which has influence on the total human flow of the target area. The target ARMA modelis based on the influence of the total flow of people in at least one reference area at each historical moment on the total flow of people in the target area at the corresponding subsequent historical moment. In this way, according to the historical data of the reference area, the total human flow at the future time of the target area can be accurately predicted, and at the same time, the problems of narrow source data coverage and high maintenance cost of the data acquisition equipment existing in the prior art can be effectively solved.

Description

technical field [0001] The invention relates to the communication field, in particular to a method for predicting the flow of people and establishing a prediction model of the flow of people and related equipment. Background technique [0002] For ultra-large-scale cities with a large population base and full of mobility, such as Beijing, Shanghai, and Shenzhen, hot spots such as comprehensive business districts, famous tourist attractions, and large-scale event venues often experience crowd "blowout", and this phenomenon is even more severe during holidays. is significant. In order to prevent various potential safety hazards in urban crowd gathering places, scientific and effective information monitoring methods are urgently needed to predict the flow of people, detect the characteristics of crowd flow early, and provide decision-making basis for the coordination of regional management resources. [0003] The existing technical solutions for crowd flow prediction mainly re...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/04G06F17/18
CPCG06F17/18G06Q10/04
Inventor 吴洁璇梅铮
Owner CHINA MOBILEHANGZHOUINFORMATION TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products