中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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自动化研究所 [153]
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期刊论文 [360]
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Remarkable contamination characteristics, potential hazards and source apportionment of heavy metals in surface dust of kindergartens in a northern megacity of China
期刊论文
OAI收割
JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 465, 页码: 12
作者:
Wang, Peng
;
Han, Guilin
;
Hu, Jian
;
Zhang, Qian
;
Tian, Liyan
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/02/18
Heavy metals
Surface dust
Risk assessment
Source apportionment
Uncertainty evaluation
Measurement invariance of the driving inattention scale (ARDES) across 7 countries
期刊论文
OAI收割
Accident Analysis and Prevention, 2024, 卷号: 195, 页码: 9
作者:
Castro, Candida
;
Pablo Doncel, P.
;
Ledesma, Rubén D.
;
Montes, Silvana A.
;
Daniela Barragan, D.
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/12/19
Distracted driver
Proneness to distraction
Navigation errors
Manoeuvring errors
Control errors
Planning errors
Autonomous Vehicle Platoons In Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 141-156
作者:
Luigi D’Alfonso
;
Francesco Giannini
;
Giuseppe Franzè
;
Giuseppe Fedele
;
Francesco Pupo
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/01/02
Distributed model predictive control
distributed reinforcement learning
routing decisions
urban road networks
Identification of irregular extension features and fragmented spatial governance within urban fringe areas
期刊论文
OAI收割
APPLIED GEOGRAPHY, 2024, 卷号: 162, 页码: 103172
作者:
Zhou, Liang
;
Wei, Le
;
Lopez-Carr, David
;
Dang, Xuewei
;
Yuan, Bo
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/01/26
Urban fringe area
Urbanization
Landscape fragmentation
Spatial governance
Xi 'an
Atmospheric wet organic nitrogen deposition in China: Insights from the national observation network
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 898, 页码: 165629
作者:
Xi, Yue
;
Wang, Qiufeng
;
Zhu, Jianxing
;
Yang, Meng
;
Hao, Tianxiang
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/09/07
Nitrogen deposition
Organic nitrogen
China
Spatial pattern
Influencing factors
Ecological effects
Multi-task safe reinforcement learning for navigating intersections in dense traffic
期刊论文
OAI收割
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 卷号: 360, 期号: 17, 页码: 13737-13760
作者:
Liu, Yuqi
;
Gao, Yinfeng
;
Zhang, Qichao
;
Ding, Dawei
;
Zhao, Dongbin
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/02/22
Utilizing MRBQ to investigate risky rider behavior in Chinese young riders: combining the effect of Big Five personality and sensation seeking
期刊论文
OAI收割
JOURNAL OF RISK RESEARCH, 2023, 页码: 20
作者:
Yu, Zhenhao
;
Qu, Weina
;
Ge, Yan
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/11/29
Safety of motorcyclists
motorcycle rider behavior questionnaire
big five personality
sensation seeking
mediation model
Parallel Transportation in TransVerse: From Foundation Models to DeCAST
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 18
作者:
Zhao, Chen
;
Wang, Xiao
;
Lv, Yisheng
;
Tian, Yonglin
;
Lin, Yilun
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/11/16
Cyber-physical-social systems (CPSS)
artificial systems
computational experiments
parallel execution (ACP)
decentralized/distributed autonomous operations and organizations (DAO)
big AI models
Health and economic benefits of heavy-duty diesel truck emission control policies in Beijing
期刊论文
OAI收割
ENVIRONMENT INTERNATIONAL, 2023, 卷号: 179, 页码: 9
作者:
Cheng, Shifen
;
Zhang, Beibei
;
Peng, Peng
;
Lu, Feng
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/10/09
Heavy-duty diesel trucks
Traffic emissions
Dispersion model
Health impact assessment
Scenario analysis
Parallel Testing for Centralized Traffic Control Systems of Intelligent Railways
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 9, 页码: 4249-4262
作者:
Xu, Wei
;
Dai, Xingyuan
;
Zhao, Chen
;
Tang, Yiqing
;
Cheng, Jie
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/12/21
Centralized traffic control
high-speed railway systems
intelligent testing
parallel intelligence
artificial intelligence
railway dispatching systems