An Approach for Filter Divergence Suppression in a Sequential Data Assimilation System and Its Application in Short-Term Traffic Flow Forecasting
文献类型:期刊论文
作者 | Tong, Xiaohua2; Wang, Runjie1,2; Shi, Wenzhong1; Li, Zhiyuan3 |
刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
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出版日期 | 2020-06-01 |
卷号 | 9期号:6页码:16 |
关键词 | sequential data assimilation system filter divergence gain matrix L-1-norm constrained short-term traffic flow forecasting |
DOI | 10.3390/ijgi9060340 |
英文摘要 | Mathematically describing the physical process of a sequential data assimilation system perfectly is difficult and inevitably results in errors in the assimilation model. Filter divergence is a common phenomenon because of model inaccuracies and affects the quality of the assimilation results in sequential data assimilation systems. In this study, an approach based on anL(1)-norm constraint for filter-divergence suppression in sequential data assimilation systems was proposed. The method adjusts the weights of the state-simulated values and measurements based on new measurements using anL(1)-norm constraint when filter divergence is about to occur. Results for simulation data and real-world traffic flow measurements collected from a sub-area of the highway between Leeds and Sheffield, England, showed that the proposed method produced a higher assimilation accuracy than the other filter-divergence suppression methods. This indicates the effectiveness of the proposed approach based on theL(1)-norm constraint for filter-divergence suppression. |
WOS关键词 | KALMAN-FILTER ; PREDICTION ; VOLUME ; MODEL ; INVERSION ; STATE |
WOS研究方向 | Physical Geography ; Remote Sensing |
语种 | 英语 |
WOS记录号 | WOS:000551839000001 |
出版者 | MDPI |
源URL | [http://ir.iggcas.ac.cn/handle/132A11/97578] ![]() |
专题 | 地质与地球物理研究所_中国科学院矿产资源研究重点实验室 |
通讯作者 | Shi, Wenzhong |
作者单位 | 1.Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hung Hom, Kowloon, Hong Kong 999077, Peoples R China 2.Tongji Univ, Coll Surveying & Geoinformat, 1239 Siping Rd, Shanghai 200092, Peoples R China 3.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Mineral Resources, Beijing 100029, Peoples R China |
推荐引用方式 GB/T 7714 | Tong, Xiaohua,Wang, Runjie,Shi, Wenzhong,et al. An Approach for Filter Divergence Suppression in a Sequential Data Assimilation System and Its Application in Short-Term Traffic Flow Forecasting[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2020,9(6):16. |
APA | Tong, Xiaohua,Wang, Runjie,Shi, Wenzhong,&Li, Zhiyuan.(2020).An Approach for Filter Divergence Suppression in a Sequential Data Assimilation System and Its Application in Short-Term Traffic Flow Forecasting.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(6),16. |
MLA | Tong, Xiaohua,et al."An Approach for Filter Divergence Suppression in a Sequential Data Assimilation System and Its Application in Short-Term Traffic Flow Forecasting".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.6(2020):16. |
入库方式: OAI收割
来源:地质与地球物理研究所
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