文献
J-GLOBAL ID:201902238766915654
整理番号:19A0525717
近未来を見る:ITSにおける交通負荷に対する短期予測方法論【JST・京大機械翻訳】
See the near future: A short-term predictive methodology to traffic load in ITS
著者 (7件):
Zhou Xun
(State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, 710071 China)
,
Li Changle
(State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, 710071 China)
,
Liu Zhe
(State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, 710071 China)
,
Luan Tom H.
(School of Information Technology, Deakin University, Melbourne, VIC, 3125 Australia)
,
Miao Zhifang
(State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, 710071 China)
,
Zhu Lina
(State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, 710071 China)
,
Xiong Lei
(State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044 China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
ICC
ページ:
1-6
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)