Multistep prediction method for effective parking space occupation rate of parking lot

Abstract

The invention discloses a multistep prediction method for effective parking space occupation rate of a parking lot. The multistep prediction method comprises the following steps of: 1) determining the time sequence of the effective parking space occupation rate of the parking lot; 2) based on the time sequence of the effective parking space occupation rate, setting a multistep prediction step length N; 3) predicting the effective parking space occupation rate for previous n steps; 4) obtaining a new time sequence, then reconstructing the phase space of the new time sequence to obtain a d-dimensional phase space; 5) predicting later N-n steps to the d-dimensional phase space obtained from the step 4); and 6) combining the prediction value of the later N-n steps obtained from the step 5) and the prediction value of previous n steps obtained from the step 3), thus obtaining the prediction result of final N steps. The invention provides a combined prediction method of wavelet neural network-maximum Lyapunov exponent method according to different characteristics of earlier stage and later stage of multistep prediction on the effective parking space occupation rate, the prediction coverage time range is increased, and the precision 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 method for multi-step prediction of effective berths in a parking lot, which can predict the vacant berth information of a parking lot in a long period of time 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 t...

AI Technical Summary

Problems solved by technology

[0005] At present, most domestic research on parking space prediction focuses on single-step prediction, and there are few studies on multi-step prediction.

In the existing multi-step forecasting research, a single method is generally adopted. Although the single forecasting method has the advantages of clear process, simple and easy operation, etc., it also has low forecasting accuracy and cannot fully reflect the early and late stages of multi-step forecasting. Disadvantages such as different characteristics

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