中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors

文献类型:期刊论文

作者Xu, Zhihao2,3; Lv, Zhiqiang1,4; Li, Jianbo2; Sun, Haokai4; Sheng, Zhaoyu4
刊名IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
出版日期2022-04-14
页码24
关键词Meteorology Public transportation Wind speed Classification tree analysis Urban areas Atmospheric modeling Time division multiplexing
ISSN号1939-1390
DOI10.1109/MITS.2022.3162901
资助项目National Key Research and Development Plan Key Special Projects[2018YFB2100303] ; Shandong Province Colleges and Universities Youth Innovation Technology Plan Innovation Team project[2020KJN011] ; Shandong Provincial Natural Science Foundation[ZR2020MF060] ; Program for Innovative Postdoctoral Talents in Shandong Province[40618030001] ; National Natural Science Foundation of China[61802216] ; Postdoctoral Science Foundation of China[2018M642613]
WOS研究方向Engineering ; Transportation
语种英语
WOS记录号WOS:000785822700001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/18876]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Li, Jianbo
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
2.Qingdao Univ, Coll Comp Sci & Technol, Qingdao 266071, Peoples R China
3.Chinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Qingdao 266101, Peoples R China
4.Qingdao Univ, Inst Ubiquitous Networks & Urban Comp, Qingdao 266070, Peoples R China
推荐引用方式
GB/T 7714
Xu, Zhihao,Lv, Zhiqiang,Li, Jianbo,et al. A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors[J]. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE,2022:24.
APA Xu, Zhihao,Lv, Zhiqiang,Li, Jianbo,Sun, Haokai,&Sheng, Zhaoyu.(2022).A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors.IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE,24.
MLA Xu, Zhihao,et al."A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors".IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE (2022):24.

入库方式: OAI收割

来源:计算技术研究所

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