Prediction of the amount of vessels arriving at inland port based on time series analysis

被引：0

作者：

Ming, Li ^{[1
]}

Liu, Jing-xian ^{[1
]}

机构：

[1] Wuhan Univ Technol, Hubei Key Lab Inland Shipping Technol, Sch Nav, Wuhan, Hubei, Peoples R China

来源：

2017 4TH INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS) | 2017年

基金：

中国国家自然科学基金;

关键词：

Prediction; the amount of vessels; inland port; time series;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper focused on the prediction of the amount of vessels arriving at the inland port. Based on the statistical data, this paper analyzed the process of time series modeling and model test, set up prediction model of the amount of vessels by using time series analysis method, R programming language, and SAS statistical software. The whole process was described in detail based on an example. It proved that the amount of vessels arriving at the inland port was predicted very well. It lays the foundation for inland port planning.

引用

页码：831 / 835

页数：5

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