Method for predicting available parking space occupancy of parking lot in short time

A prediction method and technology of occupancy rate, which are applied in the direction of indicating various open spaces of the parking lot, can solve the problems of difficulty in determining network parameters and training parameters, slow convergence speed, etc., and achieve the effect of easy network parameters and training parameters, and fast convergence speed.

Inactive Publication Date: 2011-04-20
SOUTHEAST UNIV
View PDF0 Cites 20 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 derivati

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 available parking space occupancy of parking lot in short time
  • Method for predicting available parking space occupancy of parking lot in short time
  • Method for predicting available parking space occupancy of parking lot in short time

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0017] In the following, the present invention will be further clarified in conjunction with specific examples. It should be understood that these examples are only used to illustrate the present invention and not to limit the scope of the present invention. After reading the present invention, those skilled in the art will give various equivalent forms of the present invention. All the modifications fall within the scope defined by the appended claims of this application.

[0018] The specific prediction steps of the present invention are as follows:

[0019] (1) Use the dyadic orthogonal wavelet in the discrete wavelet transform (DWT) to transform the effective berth occupancy time series, and use the Mallat algorithm to perform multi-resolution N-scale wavelet decomposition. After decomposition, a scale is N low frequency coefficient vector c N And N high-frequency coefficient vectors d at different scales 1 , D 2 ,...,D N ;

[0020] (2) Use the reconstruction algorithm to separa...

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 method for predicting the available parking space occupancy of a parking lot in a short time. The method comprises the following steps of: performing multi-resolution and N-scale decomposition on the time sequence c0 of the available parking space occupancy by using a wavelet function so as to obtain a low-frequency coefficient vector cN of which the scale is N and N high-frequency coefficient vectors d1, d2, ..., dN with different scales; reconstructing the low-frequency coefficient vector cN and the high-frequency coefficient vectors d1, d2, ..., dN so as to obtain N+1 time sequences CN, D1, D2, ..., DN; and establishing a weighted Markov chain prediction model for predicting to obtain N+1 prediction results and accumulating the N+1 prediction results so as to obtain a prediction result which corresponds to the original available parking space occupancy. A wavelet analysis-weighted Markov combined prediction model is provided according to the short-time change characteristic of the available parking space occupancy of the parking lot, so that convergence rate is increased, and a network parameter and a training parameter are easy to determine.

Description

technical field [0001] The invention relates to a short-term prediction method for the effective berth occupancy rate of a parking lot, and belongs to the technical field of intelligent information processing in intelligent transportation systems. 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 Parking Guidance and Information System (PGIS) to obtain the information of vacant parking spaces in the parking lot by using the information collection technology of 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 PGIS mainly refer to the parking spaces available for social vehicles in public parking facilities, and the fixed parking spaces rented by units or ...

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): G08G1/14
Inventor 季彦婕邓卫郁晨怡
Owner SOUTHEAST UNIV
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