Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Passenger flow prediction method and device

A passenger flow and flow technology, applied in forecasting, neural learning methods, instruments, etc., can solve the problems of limited passenger flow reference value, difficulty in accurately predicting passenger flow, etc., and achieve the effect of improving accuracy and efficiency

Inactive Publication Date: 2019-07-23
CHENGDU SEFON SOFTWARE CO LTD
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the rapid development of social living standards, the reference value of the passenger flow at the same time in previous years is very limited, and it is often difficult to accurately predict the current passenger flow

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
  • Passenger flow prediction method and device
  • Passenger flow prediction method and device
  • Passenger flow prediction method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The technical solutions in the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the present disclosure.

[0028] It should be noted that like numerals and letters denote similar items in the following figures, therefore, once an item is defined in one figure, it does not require further definition and explanation in subsequent figures.

[0029] Please refer to figure 1 , is a schematic flowchart of a method for predicting passenger flow provided by the present disclosure. It should be noted that the method for predicting passenger flow described in this disclosure does not figure 1 And the specific order described below is a limitation. It should be understood that in other embodiments, the order of some steps in the method for predicting passenger flow described in the present disclosure can be exchanged according to actual needs, or some steps can also be omitted or delete. The following will be figur...

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 provides a passenger flow prediction method and device, and relates to the technical field of data prediction. The method comprises the following steps of obtaining a historical passenger flow sequence, wherein the historical passenger flow sequence comprises a plurality of historical passenger flows arranged according to a time sequence, obtaining a predicted passenger flow sequencethrough prediction based on a recursive radial basis cycle neural network model and through the historical passenger flow sequence, wherein a hidden state layer in the recursive radial basis cycle neural network model is processed through a preset radial basis function, so that the accuracy and the efficiency of predicting the passenger flow volume can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of data prediction, in particular, to a method and device for predicting passenger flow. Background technique [0002] For public places such as scenic spots and transportation hubs, due to the large number of people coming and going, if the passenger flow for this place cannot be accurately estimated, the actual passenger flow may exceed the carrying capacity of the place, and even bring more serious consequences. Therefore, there is an urgent need for a method for predicting passenger flow. [0003] In the prior art, the current passenger flow is usually predicted based on the experience of the staff and the passenger flow at the same time in previous years. However, due to the rapid development of social living standards, the reference value of the passenger flow at the same time in previous years is very limited, and it is often difficult to accurately predict the current passenger flow. Cont...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G06N3/04G06N3/08
CPCG06Q10/04G06Q50/26G06N3/08G06N3/045
Inventor 覃进学王丹蓝科刘旻哲
Owner CHENGDU SEFON SOFTWARE CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com