Urban Intelligence: a Modular, Fully Integrated, and Evolving Model for Cities Digital Twinning

被引:30
作者
Castelli, Giordana [1 ]
Cesta, Amedeo [2 ]
Diez, Matteo [3 ]
Padula, Marco [4 ]
Ravazzani, Paolo [5 ]
Rinaldi, Giovanni [6 ]
Savazzi, Stefano [7 ]
Spagnuolo, Michela [8 ]
Strambini, Lucanos [7 ]
Tognola, Gabriella [7 ]
Campana, Emilio Fortunato [1 ]
机构
[1] CNR, Natl Res Council, Engn ICT & Technol Energy & Transportat Dept DIIT, Rome, Italy
[2] CNR, Natl Res Council, Inst Cognit Sci & Technol ISTC, Rome, Italy
[3] CNR, Natl Res Council, Inst Marine Engn INM, Rome, Italy
[4] CNR, Natl Res Council, Construct Technol Inst ITC, Milan, Italy
[5] CNR, Natl Res Council, Inst Elect Comp & Telecommun Engn IEIIT, Rome, Italy
[6] CNR, Natl Res Council, Inst Syst Anal & Comp Sci IASI, Rome, Italy
[7] CNR, Natl Res Council, Inst Elect Comp & Telecommun Engn IEIIT, Milan, Italy
[8] CNR, Natl Res Council, Inst Appl Math & Informat Technol IMATI, Genoa, Italy
来源
2019 IEEE 16TH INTERNATIONAL CONFERENCE ON SMART CITIES: IMPROVING QUALITY OF LIFE USING ICT, IOT AND AI (IEEE HONET-ICT 2019) | 2019年
关键词
digital twins; decision making; multidisciplinary analysis and optimization; data lake management; wireless sensing; data/model driven learning and reasoning; know-how integration; SMART CITIES; DESIGN;
D O I
10.1109/honet.2019.8907962
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Urban Intelligence (UI) paradigm proposes an ecosystem of technologies to improve urban environment, wellbeing, quality of life and smart city systems. It fosters the definition of a digital twin of the city, namely a cyber-physical counterpart of all the city systems and sub-systems. Here we propose a novel approach to UI that extends available frameworks combining advanced multidisciplinary modelling of the city, simulation and learning tools with numerical optimization techniques, each of them specialized for the digital representation of city systems and subsystems, including not only city infrastructures, but also city users and their interactions. UI provides sets of candidate policies in complex scenarios and supports policy makers and stakeholders in designing sustainable and personalized solutions. The main characteristics of the proposed UI architecture are (a) fully multidisciplinary integration of city layers, (b) connection and evolution with the city, (c) integration of participative strategies to include "human-oriented" information, and (d) modularity of application.
引用
收藏
页码:33 / 37
页数:5
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