Forecast of Urban Rail Transit Passenger Flow in Holidays Based on Support Vector Machine Model

Abstract

Forecast of passenger flow in holidays plays an important role in controlling passenger flow for the urban rail transit operation department. It can effectively guide the operation department to make a good plan in advance, and formulate and implement an appropriate operation management and passenger flow organization plan based on the passenger flow forecast. Different forecasting models are suitable for different forecasting scenarios. By comparing the characteristics of different forecasting models and analyzing the characteristics of passenger flow at stations during the holidays, a forecast model of urban rail transit holiday passenger flow based on the support vector machine model is constructed. At last, the prediction model of Chengdu Metro is used to verify the prediction model, and the prediction accuracy of the model is confirmed.