中国科学院机构知识库网格系统: 检索

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	Modeling the heterogeneous traffic correlations in urban road systems using traffic-enhanced community detection approach 期刊论文 OAI收割 PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 卷号: 501, 页码: 227-237 作者: Lu, Feng; Liu, Kang; Duan, Yingying; Cheng, Shifen; Du, Fei \| 收藏 \| 浏览/下载：73/0 \| 提交时间：2019/05/30 Urban road system Spatial heterogeneity Traffic correlation Traffic-enhanced dual graph Community detection
	Modeling the heterogeneous traffic correlations in urban road systems using traffic-enhanced community detection approach 期刊论文 OAI收割 PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 卷号: 501, 页码: 227-237 作者: Lu, Feng; Liu, Kang; Duan, Yingying; Cheng, Shifen; Du, Fei \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2019/05/30 Urban road system Spatial heterogeneity Traffic correlation Traffic-enhanced dual graph Community detection
	Modeling the heterogeneous traffic correlations in urban road systems using traffic-enhanced community detection approach 期刊论文 OAI收割 PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 卷号: 501, 页码: 227-237 作者: Lu, Feng; Liu, Kang; Duan, Yingying; Cheng, Shifen; Du, Fei \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2019/05/30 Urban road system Spatial heterogeneity Traffic correlation Traffic-enhanced dual graph Community detection
	Material metabolism and lifecycle GHG emissions of urban road system (URS) 期刊论文 OAI收割 JOURNAL OF CLEANER PRODUCTION, 2017, 卷号: 165, 期号: 1, 页码: 243-253 作者: Zhang, Zhiwei; Zhang, Xuanzhao; Guo, Zhen; Hu, Dan; Zhang, Peidong \| 收藏 \| 浏览/下载：36/0 \| 提交时间：2018/07/20 Urban Road System (Urs) Material Metabolism Greenhouse Gas (Ghg) Emission Life Cycle Assessment (Lca) Infrastructure Resource Management
	城市道路系统物质存量研究及其生态环境影响分析学位论文 OAI收割博士, 北京: 中国科学院研究生院, 2014 作者: 郭振收藏 \| 浏览/下载：168/0 \| 提交时间：2015/06/24 物质存量城市代谢城市道路系统自下而上模型基础设施物质资源管理 Material stock Urban metabolism Road system Bottom-up model Infrastructure resource management
	An integrated material metabolism model for stocks of urban road system in Beijing, China 期刊论文 OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2014, 卷号: 470, 期号: 1, 页码: 883-894 Guo, Zhen; Hu, Dan; Zhang, Fuhua; Huang, Guolong; Xiao, Qiang 收藏 \| 浏览/下载：47/0 \| 提交时间：2015/03/23 Urban metabolism Road system Urban infrastructure Material stock analysis Bottom-up model Infrastructure resource management
	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：35/0 \| 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.
	Incorporating Generic and Specific Prior Knowledge in a Multiscale Phase Field Model for Road Extraction From VHR Images 期刊论文 OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2008, 卷号: 1, 期号: 2, 页码: 139-146 作者: Peng, Ting; Jermyn, Ian H.; Prinet, Veronique; Zerubia, Josiane 收藏 \| 浏览/下载：34/0 \| 提交时间：2015/11/08 Dense urban area geographical information system (GIS) multiscale analysis road network extraction variational model very high resolution (VHR) image
	Incorporating Generic and Specific Prior Knowledge in a Multiscale Phase Field Model for Road Extraction From VHR Images 期刊论文 OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2008, 卷号: 1, 期号: 2, 页码: 139-146 作者: Peng, Ting; Jermyn, Ian H.; Prinet, Veronique; Zerubia, Josiane 收藏 \| 浏览/下载：19/0 \| 提交时间：2015/11/08 Dense urban area geographical information system (GIS) multiscale analysis road network extraction variational model very high resolution (VHR) image