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A method for predicting the number of vacant parking spaces in a parking lot

A prediction method and technology of number of berths, applied in neural learning methods, complex mathematical operations, instruments, etc., can solve problems such as complex calculations, slow operation efficiency, and insufficient prediction accuracy, and achieve the effect of improving prediction accuracy and accelerating convergence speed

Active Publication Date: 2021-01-05
WENZHOU UNIV
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  • Description
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  • Application Information

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Problems solved by technology

[0008] The purpose of the embodiments of the present invention is to provide a method for predicting the number of vacant parking spaces in a parking lot, which can overcome the defects in the prior art that the calculation is too complicated, the operation efficiency is slow, and the prediction accuracy is not high enough.

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  • A method for predicting the number of vacant parking spaces in a parking lot
  • A method for predicting the number of vacant parking spaces in a parking lot
  • A method for predicting the number of vacant parking spaces in a parking lot

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Embodiment Construction

[0032] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0033] Such as figure 1 As shown, in the embodiment of the present invention, a method for predicting the number of vacant parking spaces in a parking lot is proposed, comprising steps:

[0034] Step S1, data preparation, the data includes a training set formed by known remaining berths in the parking lot and a test set formed by estimating the remaining berths in the parking lot;

[0035] The specific process is that the parking data is to record the remaining number of berths in the parking lot every certain time (taking 10 minutes as an example), for example: 3:10min=192, 3:20min=195, 3:30min=1...

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Abstract

The embodiment of the invention discloses a new prediction method for the number of vacant parking spaces in a parking lot, including data preparation, the data is divided into a training set and a test set; normalization processing is performed on the data in the training set and the test set; The data is the analysis object, the fruit fly optimization algorithm is applied to the parameter optimization of the support vector regression model, and the optimal model parameters are selected to establish the support vector regression model with the best effect; the data in the test set is substituted into the support vector with the best effect In the regression model, the final remaining number of parking spaces is predicted. The implementation of the present invention can overcome the defects in the prior art such as too complicated calculation, slow operating efficiency, and insufficient prediction accuracy.

Description

technical field [0001] The present invention relates to the technical field of parking induction berth prediction, in particular to a new prediction method for the number of vacant parking spaces in a parking lot. Weighted Markov chain model, model combining wavelet transform and extreme learning machine (ELM), chaotic time series forecasting model, and model combining chaos and BP neural network, etc. From the perspective of innovation, the present invention creates a new prediction method in the parking guidance berth prediction technology. Compared with neural network algorithms, this method has the advantages of high stability and less parameters to be controlled. Background technique [0002] With the development of the domestic economy, people's living standards are constantly improving. There are more and more private cars, which directly lead to traffic congestion in the city. Parking problems have gradually become traffic problems, especially in the urban center of ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/00G06N3/08G06N7/08G06F17/18
Inventor 唐震洲樊俊凯
Owner WENZHOU UNIV