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Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共10条,第1-10条 帮助

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Viral invasion, incubation, and outbreak under the normalized operation of urban systems: a spatial cognition-driven transmission model of infectious diseases 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 2347459
作者:  
Shen, Nuozhou;  Zhang, Haiping
  |  收藏  |  浏览/下载:28/0  |  提交时间:2024/06/17
Comprehensive simulation of resources and environment carrying capacity for urban agglomeration: A system dynamics approach 期刊论文  OAI收割
ECOLOGICAL INDICATORS, 2022, 卷号: 138, 页码: 12
作者:  
Bao, Chao;  Wang, Hongjie;  Sun, Siao
  |  收藏  |  浏览/下载:21/0  |  提交时间:2022/09/21
Comprehensive simulation of resources and environment carrying capacity for urban agglomeration: A system dynamics approach 期刊论文  OAI收割
ECOLOGICAL INDICATORS, 2022, 卷号: 138, 页码: 12
作者:  
Bao, Chao;  Wang, Hongjie;  Sun, Siao
  |  收藏  |  浏览/下载:36/0  |  提交时间:2022/09/21
Scenario modeling of ecological security index using system dynamics in Beijing-Tianjin-Hebei urban agglomeration 期刊论文  OAI收割
ECOLOGICAL INDICATORS, 2021, 卷号: 125, 页码: 10
作者:  
Wang, Hongjie;  Bao, Chao
  |  收藏  |  浏览/下载:39/0  |  提交时间:2021/06/10
Scenario modeling of ecological security index using system dynamics in Beijing-Tianjin-Hebei urban agglomeration 期刊论文  OAI收割
ECOLOGICAL INDICATORS, 2021, 卷号: 125, 页码: 10
作者:  
Wang, Hongjie;  Bao, Chao
  |  收藏  |  浏览/下载:22/0  |  提交时间:2021/06/10
Shrinking or Expanding? City Spatial Distribution and Simulation Analyses Based on Regionalization along the Yellow River 期刊论文  OAI收割
JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 2020, 卷号: 146, 期号: 4, 页码: 11
作者:  
Wang, Fang;  Deng, Xiaoyue;  Gao, Yuan;  Long, Hualou;  Liu, Zhao
  |  收藏  |  浏览/下载:44/0  |  提交时间:2021/03/16
Shrinking or Expanding? City Spatial Distribution and Simulation Analyses Based on Regionalization along the Yellow River 期刊论文  OAI收割
JOURNAL OF URBAN PLANNING AND DEVELOPMENT, 2020, 卷号: 146, 期号: 4, 页码: 11
作者:  
Wang, Fang;  Deng, Xiaoyue;  Gao, Yuan;  Long, Hualou;  Liu, Zhao
  |  收藏  |  浏览/下载:30/0  |  提交时间:2021/03/16
Scenario Modeling of Urbanization Development and Water Scarcity Based on System Dynamics: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 卷号: 16, 期号: 20, 页码: 19
作者:  
Bao, Chao;  He, Dongmei
  |  收藏  |  浏览/下载:19/0  |  提交时间:2020/05/19
Scenario Modeling of Urbanization Development and Water Scarcity Based on System Dynamics: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 卷号: 16, 期号: 20, 页码: 19
作者:  
Bao, Chao;  He, Dongmei
  |  收藏  |  浏览/下载:37/0  |  提交时间:2020/05/19
Neural network based online traffic signal controller design with reinforcement training (EI CONFERENCE) 会议论文  OAI收割
14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011, October 5, 2011 - October 7, 2011, Washington, DC, United states
Dai Y.; Hu J.; Zhao D.; Zhu F.
收藏  |  浏览/下载:36/0  |  提交时间:2013/03/25
Traffic congestion leads to problems like delays  decreasing flow rate  and higher fuel consumption. Consequently  keeping traffic moving as efficiently as possible is not only important to economy but also important to environment. Traffic system is a large complex nonlinear stochastic system. Traditional mathematical methods have some limitations when they are applied in traffic control. Thus  computational intelligence (CI) technologies gain more and more attentions. Neural Networks (NNs) is a well developed CI technology with lots of promising applications in traffic signal control (TSC). In this paper  a neural network (NN) based signal controller is designed to control the traffic lights in an urban traffic road network. Scenarios of simulation are conducted under a microscopic traffic simulation software. Several criterions are collected. Results demonstrate that through online reinforcement training the controllers obtain better control effects than the widely used pre-time and actuated methods under various traffic conditions. 2011 IEEE.