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

Short-term prediction method for occupancy of effective parking space of parking lot

A prediction method and parking lot technology, which is applied to indicate the equal directions of each open space in the parking lot, can solve the problems of low prediction stability and low precision, and achieve the effects of slow convergence speed, high prediction accuracy and fast convergence speed

Inactive Publication Date: 2013-01-02
SOUTHEAST UNIV
View PDF6 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the short-term prediction of parking spaces in China mostly adopts the BP neural network method. Although this method has the advantages of rigorous derivation process and clear physical concept, it also has the disadvantages of low prediction stability and low accuracy.

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
  • Short-term prediction method for occupancy of effective parking space of parking lot
  • Short-term prediction method for occupancy of effective parking space of parking lot
  • Short-term prediction method for occupancy of effective parking space of parking lot

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] The present invention is further illustrated below, 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 within the scope of this invention to the modification of various equivalent forms of the present invention within the scope of the claims of the application.

[0015] The short-term prediction method for the effective berth occupancy rate of the parking lot of the present invention, the process is as follows figure 1 As shown, the specific steps are as follows:

[0016] 1) Obtain the initial effective berth occupancy time series c 0

[0017] Count the number of vehicles entering the parking lot in different time periods A i (i=1, 2, ..., M, M is the number of time periods) and the number L of vehicles leaving the parking lot i (i=1, 2, ..., M, M is the number of time periods). Assumi...

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 discloses a short-term prediction method for occupancy of an effective parking space of a parking lot. The short-term prediction method comprises the steps as follows: 1) determining a time sequence of the occupancy of the effective parking space of the parking lot; 2) carrying out wavelet decomposition to the time sequence of the occupancy of the effective parking space through a wavelet function, thus obtaining a low-frequency coefficient vector and a high-frequency coefficient vector; implementing the wavelet reconstruction to the low-frequency coefficient vector and high-frequency coefficient vector, so as to obtain the time sequence of N+1 reconstructions; 3) establishing a wavelet neural network model to the time sequence of the N+1 reconstructions for predicting, thus obtaining N+1 prediction results; and 4) accumulating the N+1 prediction results, so as to obtain the prediction results corresponding to the time sequence of the occupancy of the effective parking space. According to the short-term prediction method disclosed by the invention, a wavelet analysis-wavelet neural network combinational prediction model is raised to perform short-term prediction to the occupancy of the effective parking space of the parking lot according to the short-term variation characteristic of the occupancy of the effective parking space of the parking lot, therefore, the prediction accuracy and the stability are improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent information processing in an intelligent transportation system, and relates to a short-term prediction method for an effective berth in a parking lot, which can predict the vacant berth information of the parking lot in real time. Background technique [0002] Whether there are vacant berths in the parking lot for parking is one of the most concerned issues when drivers choose to park. It is a key technology of the parking guidance information system to obtain the information of the vacant parking spaces in the parking lot by using the information collection technology of the parking spaces and to predict them in real time. More accurately predict the vacant berth information of the parking lot, which can be used as a reference for system users when choosing a parking lot. [0003] The parking spaces included in the parking guidance information system mainly refer to the parking spaces availa...

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): G08G1/14
Inventor 季彦婕汤斗南王炜
Owner SOUTHEAST UNIV
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