中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Estimation of Travel Time Based on Ensemble Method With Multi-Modality Perspective Urban Big Data

文献类型:期刊论文

作者Zou, Zhiqiang2,4; Yang, Haoyu2; Zhu, A-Xing1,3,5,6
刊名IEEE ACCESS
出版日期2020
卷号8页码:24819-24828
关键词Travel time estimation ensemble method deep neural network gradient boosted decision trees
ISSN号2169-3536
DOI10.1109/ACCESS.2020.2971008
通讯作者Zou, Zhiqiang(zouzq@njupt.edu.cn) ; Zhu, A-Xing(azhu@wisc.edu)
英文摘要With the development of urban science, researches on mining of urban big data have attracted more and more attention. One typical microcosm of urban big data is taxi trajectory data. Predicting the travel time between the two specified points accurately is great significance for applications, such as travel plan. However, the current approach just uses limited modality data or single model without considering their one-sidedness. This paper puts forward to one optimized method to estimate travel time, which is based on ensemble method with multi-modality urban big data, namely Travel Time Estimation-Ensemble (TTE-Ensemble). First, we extract the feature sub-vectors from the multi-modality data as the model input. Then we use the gradient boosting decision tree (GBDT) model to process the low dimensional simple features and adopt the deep neural network (DNN) model to handle high dimensional underlying features. Finally, the ensemble method was introduced to integrate the two model of GBDT and the DNN. Extensive experiments were conducted based on real datasets of origin-destination points in Chengdu and Shanghai, China. These experiments demonstrate the superiority of the TTE-Ensemble model.
WOS关键词PREDICTION
资助项目National Natural Science Foundation of China[41571389] ; National Natural Science Foundation of China[41871300] ; National Natural Science Foundation of China[41431177] ; Key Laboratory of Spatial Data Mining Information Sharing of Ministry of Education, Fuzhou University[2016LSDMIS07] ; National Basic Research Program of China[2015CB954102] ; Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) ; Outstanding Innovation Team in Colleges and Universities in Jiangsu Province ; Vilas Associate Award ; Hammel Faculty Fellow Award ; Manasse Chair Professorship from the University of Wisconsin-Madison
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000524655600006
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; Key Laboratory of Spatial Data Mining Information Sharing of Ministry of Education, Fuzhou University ; National Basic Research Program of China ; Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) ; Outstanding Innovation Team in Colleges and Universities in Jiangsu Province ; Vilas Associate Award ; Hammel Faculty Fellow Award ; Manasse Chair Professorship from the University of Wisconsin-Madison
源URL[http://ir.igsnrr.ac.cn/handle/311030/133286]  
专题中国科学院地理科学与资源研究所
通讯作者Zou, Zhiqiang; Zhu, A-Xing
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Nanjing Univ Posts & Telecommun, Sch Comp Sci & Technol, Nanjing 210023, Peoples R China
3.Southern Univ Sci & Technol, Ctr Social Sci, Shenzhen 518055, Peoples R China
4.Nanjing Univ Posts & Telecommun, Jiangsu Key Lab Big Data Secur & Intelligent Proc, Nanjing 210023, Peoples R China
5.Nanjing Normal Univ, Sch Geog, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
6.Univ Wisconsin Madison, Dept Geog, Madison, WI 53706 USA
推荐引用方式
GB/T 7714
Zou, Zhiqiang,Yang, Haoyu,Zhu, A-Xing. Estimation of Travel Time Based on Ensemble Method With Multi-Modality Perspective Urban Big Data[J]. IEEE ACCESS,2020,8:24819-24828.
APA Zou, Zhiqiang,Yang, Haoyu,&Zhu, A-Xing.(2020).Estimation of Travel Time Based on Ensemble Method With Multi-Modality Perspective Urban Big Data.IEEE ACCESS,8,24819-24828.
MLA Zou, Zhiqiang,et al."Estimation of Travel Time Based on Ensemble Method With Multi-Modality Perspective Urban Big Data".IEEE ACCESS 8(2020):24819-24828.

入库方式: OAI收割

来源:地理科学与资源研究所

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