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Autonomous Vehicle Platoons In Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 141-156
作者:  Luigi D’Alfonso;  Francesco Giannini;  Giuseppe Franzè;  Giuseppe Fedele;  Francesco Pupo
收藏  |  浏览/下载：5/0  |  提交时间：2024/01/02
Network-scape metric analysis: a new approach for the pattern analysis of urban road networks 期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 卷号: 33, 期号: 3
作者:  Tian, Jing;  Yu, Mengting;  Ren, Chang;  Lei, Yingzhe
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/05
Reliable broadcast mechanism for emergency message in urban vehicular ad hoc networks 期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2019, 卷号: 13, 期号: 9
作者:  Yang, Jinling;  Huang, Chuanhe;  Fan, Xiying
收藏  |  浏览/下载：34/0  |  提交时间：2019/12/05
Macroscopic modelling and robust control of bi-modal multi-region urban road networks 期刊论文
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2017, 卷号: 104, 页码: 616-637
作者:  Ampuntolas, Konstantinos;  Zheng, Nan;  Geroliminis, Nikolas
收藏  |  浏览/下载：6/0  |  提交时间：2019/12/30
加密路网改善交通之后的城市空间重塑对策 学位论文
2014, 2014
秦芳芳
收藏  |  浏览/下载：2/0  |  提交时间：2016/01/12
Evaluating road selectivity of urban-trip based on dynamic betweenness centrality 会议论文
Proceedings - 2012 20th International Conference on Geoinformatics, Geoinformatics 2012, Hong Kong, China, 2012
Zhou Liang(周亮); Lu Feng; Zhang Hengcai
收藏  |  浏览/下载：31/0  |  提交时间：2012/12/01
Double-Sources Dijkstra Algorithm within Typical Urban Road Networks 期刊论文
ADVANCES IN COMPUTER SCIENCE AND EDUCATION, 2012, 卷号: 140, 页码: 155-161
作者:  Wang, Shiming;  Xing, Jianping;  Wu, Yong;  Wu, Yubing;  Xu, Wei
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/23
Neural network based online traffic signal controller design with reinforcement training (EI CONFERENCE) 会议论文
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：26/0  |  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.  
DOUBLE POWER-LAW DEGREE DISTRIBUTION AND INFORMATIONAL ENTROPY IN URBAN ROAD NETWORKS 期刊论文
International Journal of Modern Physics C, 2011, 卷号: 22, 期号: 1, 页码: 13-20
作者:  Jiang, Jian*;  Metz, Frederic
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/23
Topology optimization for urban traffic sensor network 期刊论文
2010, 2010
Hu Jianming; Song Jingyan; Zhang Mingchen; Kang Xiaojing
收藏  |  浏览/下载：8/0

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