CSpace  > 系统科学研究所
Data characteristic analysis and model selection for container throughput forecasting within a decomposition-ensemble methodology
Xie, Gang; Zhang, Ning; Wang, Shouyang
2017-12-01
Source PublicationTRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
ISSN1366-5545
Volume108Pages:160-178
AbstractIn this study, a novel decomposition-ensemble methodology is proposed for container throughput forecasting. Firstly, the sample data of container throughput at ports are decomposed into several components. Secondly, the time series of the various components are thoroughly investigated to accurately capture the data characteristics. Then, an individual forecasting model is selected for each component based on the data characteristic analysis (DCA). Finally, the forecasting results are combined as an aggregated output. An empirical analysis is implemented for illustration and verification purposes. Our results suggest that proposed hybrid models can achieve better performance than other methods. (C) 2017 Elsevier Ltd. All rights reserved.
KeywordContainer throughput Data characteristic analysis Model selection Time series forecasting Decomposition-ensemble methodology
DOI10.1016/j.tre.2017.08.015
Language英语
Funding ProjectNational Natural Science Foundation of China[71771207] ; National Natural Science Foundation of China[71372176] ; National Natural Science Foundation of China[71390331] ; National Center for Mathematics and Interdisciplinary Sciences, CAS
WOS Research AreaBusiness & Economics ; Engineering ; Operations Research & Management Science ; Transportation
WOS SubjectEconomics ; Engineering, Civil ; Operations Research & Management Science ; Transportation ; Transportation Science & Technology
WOS IDWOS:000417007900010
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/137
Collection系统科学研究所
Corresponding AuthorXie, Gang
AffiliationChinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Xie, Gang,Zhang, Ning,Wang, Shouyang. Data characteristic analysis and model selection for container throughput forecasting within a decomposition-ensemble methodology[J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW,2017,108:160-178.
APA Xie, Gang,Zhang, Ning,&Wang, Shouyang.(2017).Data characteristic analysis and model selection for container throughput forecasting within a decomposition-ensemble methodology.TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW,108,160-178.
MLA Xie, Gang,et al."Data characteristic analysis and model selection for container throughput forecasting within a decomposition-ensemble methodology".TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW 108(2017):160-178.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xie, Gang]'s Articles
[Zhang, Ning]'s Articles
[Wang, Shouyang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xie, Gang]'s Articles
[Zhang, Ning]'s Articles
[Wang, Shouyang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xie, Gang]'s Articles
[Zhang, Ning]'s Articles
[Wang, Shouyang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.