Daily Passenger Volume Prediction in the Bus Transportation System using ARIMAX Model with Big Data
作者： Yinna Ye , Yingchen Su
DOI: 10.1109/CYBERC49757.2020.00055
关键词:
摘要: Based on the real data collected from bus IC card payment database, firstly a time series of daily passenger volumes in given line was obtained and then two kinds models, ARMA with quadratic trend ARIMAX, were proposed to do prediction. The experiment results show that both models can make prediction effectively especially ARIMAX model, which takes temperatures consideration, performs better terms accuracy.
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