

浏览全部资源
扫码关注微信
1. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京 100190
2. 中国科学院大学人工智能学院,北京 101408
3. 北京市城市规划设计研究院,北京 100045
Published Online:2019-09,
Published:20 September 2019
移动端阅览
Yisheng LYU, Fei-Yue WANG, Yu ZHANG, et al. Parallel cities:framework,methodology,and application[J]. Chinese journal of intelligent science and technology, 2019, 1(3): 311-317.
Yisheng LYU, Fei-Yue WANG, Yu ZHANG, et al. Parallel cities:framework,methodology,and application[J]. Chinese journal of intelligent science and technology, 2019, 1(3): 311-317. DOI: 10.11959/j.issn.2096-6652.201932.
概述了平行城市的概念、框架、方法与应用。平行城市是基于 ACP 方法的平行智能在城市领域中的应用。实际城市和与之对应的虚拟空间中的人工城市平行运行、虚实互动,物理空间映射于虚拟空间,人工城市系统描述、预测、引导实际城市系统,虚实闭环,迭代优化,实现智慧城市管理的新模式。
The concept
basic framework
methodology and applications of parallel city were presented in this paper.The parallel city is an application of ACP-based parallel intelligence in city fields.The real city is running with its equivalent
and the artificial city is in virtual space
in a parallel and interactive way.The artificial city has the descriptive
predictive
and prescriptive functions on the real city.There is a closed-loop workflow between the real city and the artificial city
which iteratively optimizes the urban systems
leading to a new paradigm of intelligent urban management.
联合国经济和社会事务部 . 2018年版世界城镇化展望 [R ] . 2018 .
SONY . 2018 World Urbanization Prospects [R ] . 2018 .
CASSANDRAS C G . Smart cities as cyber-physical social systems [J ] . Engineering , 2016 , 2 ( 2 ): 156 - 158 .
WANG F Y , ZHANG J J , ZHENG X , et al . Where does AlphaGo go:from church-turing thesis to AlphaGo thesis and beyond [J ] . IEEE/CAA Journal of Automatica Sinica , 2016 , 3 ( 2 ): 113 - 120 .
王飞跃 , 戴汝为 , 汤淑明 , 等 . 城市综合交通、物流、生态问题的基础研究方法 [J ] . 交通运输系统工程与信息 , 2004 ( 3 ): 37 - 46 .
WANG F Y , DAI R W , TANG S M , et al . Fundaments of sustainable and integrated development of metropolitan transportation,logistics and ecosystems [J ] . Journal of Transportation Systems Engineering and Information Technology , 2004 ( 3 ): 37 - 46 .
王飞跃 . 社会计算与平行管理:智慧城市、智慧企业、智慧社会 [R ] . 2011 .
WANG F Y . Social computing and parallel management:smart city,smart enterprise,and smart society [R ] . 2011 .
WANG F Y . Shadow systems:a new concept for nested and embedded co-simulation for intelligent systems [D ] . Tucson,Arizona State:University of Arizona , 1994 .
吕宜生 , 陈圆圆 , 金峻臣 , 等 . 平行交通:虚实互动的智能交通管理与控制 [J ] . 智能科学与技术学报 , 2019 , 1 ( 1 ): 21 - 33 .
LYU Y S , CHEN Y Y , JIN J C , et al . Parallel transportation:virtual-real interaction for intelligent traffic management and control [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 1 ): 21 - 33 .
王飞跃 . 平行控制:数据驱动的计算控制方法 [J ] . 自动化学报 , 2013 ( 4 ): 293 - 302 .
WANG F Y . Parallel control:a method for data-driven and computational control [J ] . Acta Automatica Sinica , 2013 , 39 ( 4 ): 293 - 302 .
王飞跃 . 人工社会、计算实验、平行系统——关于复杂社会经济系统计算研究的讨论 [J ] . 复杂系统与复杂性科学 , 2004 , 1 ( 4 ): 25 - 35 .
WANG F Y . Artificial societies,computational experiments,and parallel systems:a discussion on computational theory of complex social-economic systems [J ] . Complex Systems and Complexity Science , 2004 , 1 ( 4 ): 25 - 35 .
王飞跃 . 计算实验方法与复杂系统行为分析和决策评估 [J ] . 系统仿真学报 , 2004 , 16 ( 5 ): 893 - 897 .
WANG F Y . Computational experiments for behavior analysis and decision evaluation of complex systems [J ] . Journal of System Simulation , 2004 , 16 ( 5 ): 893 - 897 .
王飞跃 . 平行系统方法与复杂系统的管理和控制 [J ] . 控制与决策 , 2004 , 19 ( 5 ): 485 - 489 .
WANG F Y . Parallel system methods for management and control of complex systems [J ] . Control and Decision , 2004 , 19 ( 5 ): 485 - 489 .
李力 , 林懿伦 , 曹东璞 , 等 . 平行学习——机器学习的一个新型理论框架 [J ] . 自动化学报 , 2017 , 43 ( 1 ): 1 - 8 .
LI L , LIN Y L , CAO D P , et al . Parallel learning-a new framework for machine learning [J ] . Acta Automatica Sinica , 2017 , 43 ( 1 ): 1 - 8 .
LI L , LIN Y L , ZHENG N N , et al . Parallel learning:a perspective and a framework [J ] . IEEE/CAA Journal of Automatica Sinica , 2017 , 4 ( 3 ): 389 - 395 .
WANG F Y . Parallel control and management for intelligent transportation systems:concepts,architectures,and applications [J ] . IEEE Transactions on Intelligent Transportation Systems , 2010 , 11 ( 3 ): 630 - 638 .
王飞跃 . 社会信号处理与分析的基本框架:从社会传感网络到计算辩证解析方法 [J ] . 中国科学:信息科学 , 2013 , 43 ( 12 ): 1598 - 1611 .
WANG F Y . The basic framework of social signal processing and analysis:from social sensor networks to computational dialectical analysis methods [J ] . Scientia Sinica (Informationis) , 2013 , 43 ( 12 ): 1598 - 1611 .
张俊 , 王飞跃 , 方舟 . 社会能源:从社会中获取能源 [J ] . 智能科学与技术学报 , 2019 , 1 ( 1 ): 7 - 20 .
ZHANG J , WANG F Y , FANG Z . Social energy:mining energy from the society [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 1 ): 7 - 20 .
刘腾 , 王晓 , 邢阳 , 等 . 基于数字四胞胎的平行驾驶系统及应用 [J ] . 智能科学与技术学报 , 2019 , 1 ( 1 ): 40 - 51 .
LIU T , WANG X , XING Y , et al . Research on digital quadruplets in cyber-physical-social space-based parallel driving [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 1 ): 40 - 51 .
袁勇 , 王飞跃 . 区块链技术发展现状与展望 [J ] . 自动化学报 , 2016 , 42 ( 4 ): 481 - 494 .
YUAN Y , WANG F Y . Blockchain:the state of the art and future trends [J ] . Acta Automatica Sinica , 2016 , 42 ( 4 ): 481 - 494 .
欧阳丽炜 , 王帅 , 袁勇 , 等 . 智能合约:架构及进展 [J ] . 自动化学报 , 2019 , 45 ( 3 ): 445 - 457 .
OUYANG L W , WANG S , YUAN Y , et al . Smart contracts:architecture and future trends [J ] . Acta Automatica Sinica , 2019 , 45 ( 3 ): 445 - 457 .
ZHANG N , WANG F Y , ZHU F H , et al . DynaCAS:computational experiments and decision support for ITS [J ] . IEEE Intelligent Systems , 2008 , 23 ( 6 ): 19 - 23 .
WANG F Y , JIN N , LIU D , et al . Adaptive dynamic programming for finite-horizon optimal control of discrete-time nonlinear systems with ε-error bound [J ] . IEEE Transactions on Neural Networks , 2011 , 22 ( 1 ): 24 - 36 .
王飞跃 . 软件定义的系统与知识自动化:从牛顿到默顿的平行升华 [J ] . 自动化学报 , 2015 , 41 ( 1 ): 1 - 8 .
WANG F Y . Software-defined system and knowledge automation:parallel sublimation from Newton to Merton [J ] . Acta Automatic Sinica , 2015 , 41 ( 1 ): 1 - 8 .
LI L , LYU Y , WANG F Y . Traffic signal timing via deep reinforcement learning [J ] . IEEE/CAA Journal of Automatica Sinica , 2016 , 3 ( 3 ): 247 - 254 .
段艳杰 , 吕宜生 , 张杰 , 等 . 深度学习在控制领域的研究现状与展望 [J ] . 自动化学报 , 2016 , 42 ( 5 ): 643 - 654 .
DUAN Y J , LYU Y S , ZHANG J , et al . Deep learning for control:the state of the art and prospects [J ] . Acta Automatica Sinica , 2016 , 42 ( 5 ): 643 - 654 .
WANG F Y , ZHANG J , WEI Q , et al . PDP:parallel dynamic programming [J ] . IEEE/CAA Journal of Automatica Sinica , 2017 , 4 ( 1 ): 1 - 5 .
王晓 , 要婷婷 , 韩双双 , 等 . 平行车联网:基于ACP的智能车辆网联管理与控制 [J ] . 自动化学报 , 2018 , 44 ( 8 ): 1391 - 1404 .
WANG X , YAO T T , HAN S S , et al . Parallel Internet of vehicles:the ACP-based networked management and control for intelligent vehicles [J ] . Acta Automatica Sinica , 2018 , 44 ( 8 ): 1391 - 1404 .
0
Views
740
下载量
0
CSCD
Publicity Resources
Related Articles
Related Author
Related Institution
京公网安备11010802024621