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

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 ...

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 disadvantages such as slow convergence speed and difficulty in determining network parameters and training parameters.

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