Research on Passenger Flow Forecast of Urban Rail Transit Based on SARIMA-RBF Combination Model
2021 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)（2021）
Abstract
Passenger flow forecast is the basis of passenger transportation organization, and the forecast results can provide decision basis for operation management and emergency response. The actual passenger flow variation has both linear and nonlinear patterns. According to the characteristics of Seasonal Autoregressive Integrated Moving Average model and Radial Basis Function neural network model, the ...
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Key words
Rails,Smart cities,Transportation,Radial basis function networks,Organizations,Predictive models,Emergency services
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