文献
J-GLOBAL ID:201702224087423551
整理番号:17A1029104
ソーシャルメディアを用いたイベント発生下での地下鉄乗客の流れの予測【Powered by NICT】
Forecasting the Subway Passenger Flow Under Event Occurrences With Social Media
著者 (3件):
Ni Ming
(Department of Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA)
,
He Qing
(Department of Civil, Structural, and Environmental Engineering and Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA)
,
Gao Jing
(Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA)
資料名:
IEEE Transactions on Intelligent Transportation Systems
(IEEE Transactions on Intelligent Transportation Systems)
巻:
18
号:
6
ページ:
1623-1632
発行年:
2017年
JST資料番号:
W1272A
ISSN:
1524-9050
CODEN:
ITISFG
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)