Name
Abstract | ||
|---|---|---|
To accurately forecast container throughput is crucial to the success of any port operation policy. In this article, Attribute Theory is used for forecast port container throughput. The method of container throughput forecast based on Attribute Theory is provided. Then the application process of the method is presented in detail combining container throughput forecast of Shanghai Port as an example. The result shows that this method is reasonable and effective. It offers a more practical and reliable way to forecast container throughput in related research. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/GrC.2012.6468698 | GrC |
Keywords | Field | DocType |
transportation | Computer science,Operations research,Real-time computing,Artificial intelligence,Throughput,Forecasting theory,Machine learning | Conference |
Citations | PageRank | References |
1 | 0.41 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xueyan Duan | 1 | 1 | 1.09 |
| Guanglin Xu | 2 | 26 | 9.95 |
| Siqin Yu | 3 | 1 | 0.41 |