文献
J-GLOBAL ID:202202262135807084
整理番号:22A0944257
統計的および機械学習法に基づく交差点フリーウェイのための動的交通事故リスクの同定【JST・京大機械翻訳】
Identification of dynamic traffic crash risk for cross-area freeways based on statistical and machine learning methods
著者 (8件):
Yang Yang
(School of Transportation Science and Engineering, Beihang University, Beijing 100191, PR China)
,
Yang Yang
(Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, Beihang University, Beijing 100191, PR China)
,
He Kun
(School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, PR China)
,
Wang Yun-peng
(School of Transportation Science and Engineering, Beihang University, Beijing 100191, PR China)
,
Wang Yun-peng
(Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, Beihang University, Beijing 100191, PR China)
,
Yuan Zhen-zhou
(School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, PR China)
,
Yin Yong-hao
(School of Traffic and Transportation Engineering, Central South University, Changsha 410075, PR China)
,
Guo Man-ze
(School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, PR China)
資料名:
Physica A. Statistical Mechanics and Its Applications
(Physica A. Statistical Mechanics and Its Applications)
巻:
595
ページ:
Null
発行年:
2022年
JST資料番号:
D0322B
ISSN:
0378-4371
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)