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Chinese Academy of Sciences Institutional Repositories Grid
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机构
自动化研究所 [8]
长春光学精密机械与物... [1]
计算机网络信息中心 [1]
沈阳自动化研究所 [1]
软件研究所 [1]
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OAI收割 [11]
iSwitch采集 [1]
内容类型
学位论文 [5]
期刊论文 [5]
会议论文 [2]
发表日期
2023 [1]
2018 [1]
2016 [2]
2015 [2]
2014 [1]
2013 [1]
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How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1781-1796
作者:
Hongyi Lin
;
Yang Liu
;
Shen Li
;
Xiaobo Qu
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/08/10
Autonomous driving
generative adversarial network (GAN)
intelligent transportation system (ITS)
traffic anomaly inspection
traffic flow
Using Adverse Weather Data in Social Media to Assist with City-Level Traffic Situation Awareness and Alerting
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 7
作者:
Lu, Hao
;
Zhu, Yifan
;
Shi, Kaize
;
Lv, Yisheng
;
Shi, Pengfei
  |  
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2018/10/10
City-level Traffic Alerting
Adverse Weather
Social Transportation
Crowdsourcing Knowledge
Intelligent Transportation System
An Autonomous Information Collection and Dissemination Model for Large-Scale Urban Road Networks
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 4, 页码: 1085-1095
Zhang, Q
;
Zheng, H
;
Lan, JH
;
An, JW
;
Peng, H
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2016/12/09
Ad hoc
intelligent vehicle systems & telematics
intelligent transportation system (ITS)
traffic information
traffic information systems
A novel freeway traffic speed estimation model with massive cellular signaling data
期刊论文
iSwitch采集
International journal of web services research, 2016, 卷号: 13, 期号: 1, 页码: 69-87
作者:
Zhu, Tongyu
;
Song, Zhixin
;
Wu, Dongdong
;
Yu, Jianjun
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2019/05/09
Backpropagation neural network
Cellular phone signaling data
Intelligent traffic system (its)
K-medoids
Kalman filter
Road traffic condition
Traffic speed estimation
A Survey of Traffic Data Visualization
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 6, 页码: 2970-2984
作者:
Chen, Wei
;
Guo, Fangzhou
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2016/01/18
Traffic
traffic data visualization
visual analysis
data-driven intelligent transportation system
Complex Network Traffic Signal Optimized Model and Simulation
会议论文
OAI收割
2nd International Conference on Intelligent Transportation (ICIT2015), Chengdu, China, November 25-27, 2015
作者:
Bi X(毕欣)
;
Zhao YN(赵越南)
;
Wang W(王伟)
;
Du JS(杜劲松)
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2015/12/19
Intelligent Transportation System
Traffic Signal optimization
Distributed network
基于目标层次结构的车辆检测技术及应用研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2014
作者:
田滨
收藏
  |  
浏览/下载:79/0
  |  
提交时间:2015/09/02
智能交通系统
交通视频监控
车辆检测
概率图模型
目标检测语法
复杂系统
Intelligent transportation system
video-based traffic surveillance
vehicle detection
probabilistic graph model
object detection grammars
complex system
基于ACP的智能交通系统云服务平台研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2013
作者:
李双双
收藏
  |  
浏览/下载:107/0
  |  
提交时间:2015/09/02
智能交通系统
平行系统理论
ACP
云计算
Hadoop
交通流预测
控制代理
Intelligent Transportation Systems
Parallel System Theory
ACP Method
Cloud Computing
Hadoop
Traffic Flow Forecasting
Control Agent
基于自适应动态规划的路口交通信号优化控制
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, 2009
作者:
李涛
收藏
  |  
浏览/下载:263/0
  |  
提交时间:2015/09/02
智能系统
自适应动态规划
交通信号控制
区域协调
蜂群理论
Intelligent system
Adaptive dynamic programming
Traffic signal control
Area cooperation
Artifical bee colony
Intelligent traffic control system based on DSP and Nios II (EI CONFERENCE)
会议论文
OAI收割
2009 International Asia Conference on Informatics in Control, Automation, and Robotics, CAR 2009, February 1, 2009 - September 2, 2009, Bangkok, Thailand
作者:
Liu W.
;
Zheng X.
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2013/03/25
In view of domestic traffic
the traffic flow is increasing rapidly recent years
whereas the traffic control is deficient. This paper presents a design of intelligent traffic control system based on DSP and Nios II. Using Dual-CPU
Intelligent Traffic Control System combined with logic control in FPGA implements kinds of functions
which include crossphase adjustment
exchanging and establishing related information
live human-computer interaction and remote control etc. The system works mostly at the mode of timing and multiple phases according to the user demands dynamically
thus it breaks through the bottleneck of traditional traffic signal controller
and can accomplish the control in complicated and diversified traffic. This paper gives the realization of hardware system as well as the software system. The experiment results show that the Intelligent Traffic Control System can completely meet the requirements of modern traffic control. 2009 IEEE.