Parking Demand Forecasting Model Based on Principal Component Analysis and BP Neural Network

摘要

Parking demand forecast is the important part of static traffic issues. In this paper, fully considering the main influencing factors of parking demand, a parking demand forecasting model based on principal component analysis and BP neural network is established. In this model, the parking demand forecasting influencing factors are obtained by principal component analysis. The parking demand forecasting model is established based on BP neural network. Finally, the model is verified by an example.