A Fuzzy ARIMA Correction Model for Transport Volume Forecast. (11th March 2021)

• Record Type: Journal Article
• Authors: Xie, Yumeng; Zhang, Peilin; Chen, Yanyi
• Other Names: Rajinikanth Venkatesan Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2021(2021)
• Publication Date: 2021-03-11
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2021/6655102
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : In recent years, few water transportation forecasting studies conduct relative to transportation forecasting. As a neglected area, the inland waterway volume prediction is an important indicator for investment management and government policymaking. Considering the time-series forecasting, some researchers try to narrow the predicted value interval. However, certain limitations detract from their popularity. For instance, if the prediction length is more than ten, the result would not be acceptable. Therefore, we propose a hybrid model that combines both of their unique properties' advantages to provide more accurate traffic volume forecasts. Also, the forecasting process will be more straightforward. The empirical results present the proposed model and improve the long-term predictive accuracy at waterway traffic volume.