文献
J-GLOBAL ID:202202229120026429
整理番号:22A1036267
交通セキュリティを考慮した機械学習技術に基づく鉄道交通転換の解析【JST・京大機械翻訳】
Analyzing Rail Traffic Diversion Based on Machine Learning Technique considering Transportation Security
著者 (6件):
Luo Jing
(School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)
,
Zhou Dai
(School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)
,
Ma Wenjun
(School of Design, Shanghai Jiao Tong University, Shanghai 200240, China)
,
Ma Wenjun
(China Institute of Urban Governance, Shanghai 200030, China)
,
Zhao Guohua
(Shanghai Jiao Tong University Design & Research Institute, Shanghai 200000, China)
,
Zhao Guohua
(Consulting Department of PPP Research Center, Shanghai Jiao Tong University, Shanghai 200000, China)
資料名:
Journal of Advanced Transportation
(Journal of Advanced Transportation)
巻:
2022
ページ:
Null
発行年:
2022年
JST資料番号:
D0581A
ISSN:
0197-6729
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)