中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Sustainability Opportunities and Ethical Challenges of AI-Enabled Connected Autonomous Vehicles Routing in Urban Areas 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 55-58
作者:  
Guo, Rongge;  Vallati, Mauro;  Wang, Yutong;  Zhang, Hui;  Chen, Yuanyuan
  |  收藏  |  浏览/下载:15/0  |  提交时间:2024/07/22
Preliminary Concept of Urban Air Mobility Traffic Rules 期刊论文  OAI收割
DRONES, 2023, 卷号: 7, 期号: 1, 页码: 22
作者:  
  |  收藏  |  浏览/下载:31/0  |  提交时间:2023/03/03
PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 11
作者:  
Jin, Junchen;  Rong, Dingding;  Pang, Yuqi;  Zhu, Fenghua;  Guo, Haifeng
  |  收藏  |  浏览/下载:34/0  |  提交时间:2022/01/27
An End-to-End Recommendation System for Urban Traffic Controls and Management Under a Parallel Learning Framework 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 3, 页码: 1616-1626
作者:  
Jin, Junchen;  Guo, Haifeng;  Xu, Jia;  Wang, Xiao;  Wang, Fei-Yue
  |  收藏  |  浏览/下载:22/0  |  提交时间:2021/04/27
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:  
Lin, Shu;  Kong, Qing-Jie;  Huang, Qingming
收藏  |  浏览/下载:32/0  |  提交时间:2017/02/14
基于代理的网络化城市交通控制系统研究 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:  
陈诚
收藏  |  浏览/下载:95/0  |  提交时间:2015/09/02
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.  
Technology of USB HOST applying in traffic controller based on ISP1161A (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, August 12, 2011 - August 14, 2011, Harbin, China
Haibo L.; Song K.
收藏  |  浏览/下载:20/0  |  提交时间:2013/03/25
Control and management of the urban traffic signal is an problem that modern city has to face. The traffic signal controller makes a great contribution to the improvement of traffic status and the reduction of traffic jam. A traffic controller is designed using the technology of USB host based on ISP1161A. Universal serial bus is new interface bus architecture for PC  which supports the PnP function Of PC peripheral equipments and has been widely used in computer and communicational devices. ISP1161A complies with the protocol of USB1.1  and is used as the core part of the system. As a new try  the USB host technology is applied into the design of controller to implement the communication with PC. Configuration of scheme is carried out successfully. The USB host technology makes configuration of scheme and future update easier and more convenient. 2011 IEEE.  
基于人工交通系统的城市交通信号控制系统评价研究 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:  
朱凤华
收藏  |  浏览/下载:93/0  |  提交时间:2015/09/02