Traffic Forecasting via Dilated Temporal Convolution With Peak-Sensitive Loss

doi:10.1109/MITS.2021.3119869

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Traffic Forecasting via Dilated Temporal Convolution With Peak-Sensitive Loss
	Guo, Ge 1; Yuan, Wei 2; Liu, Jinyuan 2; Lv, Yisheng3 ; Liu, Wei 4,5
发表期刊	IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
ISSN	1939-1390
	2021-11-16
页码	10
通讯作者	Guo, Ge(geguo@yeah.net)
关键词	Correlation Spatiotemporal phenomena Forecasting Data models Deep learning Convolution Predictive models
DOI	10.1109/MITS.2021.3119869
关键词[WOS]	FLOW
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[62173079] ; National Natural Science Foundation of China[U1808205]
项目资助者	National Natural Science Foundation of China
WOS研究方向	Engineering ; Transportation
WOS类目	Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:000732328800001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：27[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/46894
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Guo, Ge
作者单位	1.Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China 2.Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Northeastern Univ, Res Acad, Shenyang, Peoples R China 5.Neusoft Corp, Intelligent Vis Lab, Shenyang 110819, Peoples R China
推荐引用方式 GB/T 7714	Guo, Ge,Yuan, Wei,Liu, Jinyuan,et al. Traffic Forecasting via Dilated Temporal Convolution With Peak-Sensitive Loss[J]. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE,2021:10.
APA	Guo, Ge,Yuan, Wei,Liu, Jinyuan,Lv, Yisheng,&Liu, Wei.(2021).Traffic Forecasting via Dilated Temporal Convolution With Peak-Sensitive Loss.IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE,10.
MLA	Guo, Ge,et al."Traffic Forecasting via Dilated Temporal Convolution With Peak-Sensitive Loss".IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE (2021):10.