文献
J-GLOBAL ID:201802243620479567
整理番号:18A0588177
空間的-時間的特徴を考慮した都市高速道路旅行時間予測のためのハイブリッド深い学習アプローチ【Powered by NICT】
A hybrid deep learning approach for urban expressway travel time prediction considering spatial-temporal features
著者 (4件):
Zhang Zhihao
(Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang University, Xue Yuan Road No.37, HaiDian District, Beijing 100191)
,
Chen Peng
(Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang University, Xue Yuan Road No.37, HaiDian District, Beijing 100191)
,
Wang Yunpeng
(Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang University, Xue Yuan Road No.37, HaiDian District, Beijing 100191)
,
Yu Guizhen
(Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang University, Xue Yuan Road No.37, HaiDian District, Beijing 100191)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
ITSC
ページ:
795-800
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)