中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [5]
地理科学与资源研究所 [3]
长春光学精密机械与物... [1]
采集方式
OAI收割 [9]
内容类型
期刊论文 [6]
学位论文 [2]
会议论文 [1]
发表日期
2025 [1]
2020 [2]
2016 [1]
2014 [1]
2011 [1]
2008 [3]
更多
学科主题
筛选
浏览/检索结果:
共9条,第1-9条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Exploring the impacts of topography on characteristics of urban road network: A global empirical analysis
期刊论文
OAI收割
CITIES, 2025, 卷号: 160, 页码: 105848
作者:
Gu, Xiaoyan
;
Wang, Huanjiong
;
Lyu, Jinxin
;
Zhang, Mengmeng
;
Ge, Quansheng
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2025/04/21
Urban road network
Topography
Fractal dimension
Road circuity
Orientation entropy
基于城市群尺度的高铁列车与长途汽车网络结构比较
期刊论文
OAI收割
地理科学, 2020, 卷号: 40, 期号: 12, 页码: 1958
作者:
黄洁
;
杜德林
;
王姣娥
;
周健
;
金凤君
  |  
收藏
  |  
浏览/下载:70/0
  |  
提交时间:2021/03/15
road transportation
high-speed train
urban agglomeration
network structure
公路
高铁
城市群
网络结构
基于城市群尺度的高铁列车与长途汽车网络结构比较
期刊论文
OAI收割
地理科学, 2020, 卷号: 40, 期号: 12, 页码: 1958
作者:
黄洁
;
杜德林
;
王姣娥
;
周健
;
金凤君
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/03/15
road transportation
high-speed train
urban agglomeration
network structure
公路
高铁
城市群
网络结构
A model-based demand-balancing control for dynamically divided multiple urban subnetworks
期刊论文
OAI收割
JOURNAL OF ADVANCED TRANSPORTATION, 2016, 卷号: 50, 期号: 6, 页码: 1046-1060
作者:
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2017/02/14
traffic network control
urban road network
macroscopic fundamental diagram
traffic flow equilibrium
城市交通路网状态评价研究及应用
学位论文
OAI收割
工程硕士, 中国科学院自动化研究所: 中国科学院大学, 2014
李昱
收藏
  |  
浏览/下载:119/0
  |  
提交时间:2015/09/02
城市道路交通评价
交通仿真
交通影响分析
urban road network evaluation
traffic simulation traffic
impact
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:29/0
  |  
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.
新型高阶主动轮廓模型、形状先验和多尺度分析:超高分辨率卫星图像中的道路网络提取应用研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2008
作者:
彭婷
收藏
  |  
浏览/下载:88/0
  |  
提交时间:2015/09/02
高阶主动轮廓
相位场
先验形状
多分辨率
参数
道路网络提取
地图更新
高分辨率
密集城市区域
遥感图像
higher-order active contour (HOAC)
phase field
prior shape
multiresolution
parameter
road network extraction
map updating
very high resolution (VHR)
dense urban area
remote sensing images
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:30/0
  |  
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:17/0
  |  
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