Potential of the Geometric Layer in Urban Digital Twins

被引:11
|
作者
Scalas, Andreas [1 ]
Cabiddu, Daniela [1 ]
Mortara, Michela [1 ]
Spagnuolo, Michela [1 ]
机构
[1] CNR, Ist Matemat Applicata & Tecnol Informat Enr Magen, Via Marini 6, I-16165 Genoa, Italy
关键词
3D modelling; urban intelligence; city digital twin;
D O I
10.3390/ijgi11060343
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A urban digital twin is the virtual representation of real assets, processes, systems and subsystems of a city. It uses and integrates heterogeneous data to learn and evolve with the physical city, providing support to monitor the current status and predict/anticipate possible future scenarios. In this paper, we focus on the issues and potential related to the geometric layer of the city digital twin. On the one hand, detailed 3D data to reconstruct the urban morphology very accurately might not be available, and planning a new survey is costly in terms of money and time. On the other hand, the more the geometry adheres to the real counterpart, the more accurate measures and simulations related to the urban space will be. We describe our approach to develop the geometric layer of the digital twin of the city of Matera, in Italy, using only pre-existing public data. Specifically, our method exploits available digital elevation models from a previous regional aerial survey and integrates them with data coming from OpenStreetMap to generate an as-precise-as-possible 3D model, annotated with heterogeneous semantic information. We demonstrate the potential of the geometric layer by developing two geometric characterisation services, namely route slope extraction and light/shadow maps according to a specific date and time. In the next steps, the computed attributes will help to answer specific objectives which could be of interest for the Municipality, such as personalised optimal routes taking into account user preferences including slope and perceived environmental comfort.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] The Potential of Digital Twins
    Saddik A.E.
    Laamarti F.
    Alja'Afreh M.
    [J]. IEEE Instrumentation and Measurement Magazine, 2021, 24 (03): : 36 - 41
  • [2] The Potential of Digital Twins
    El Saddik, Abdulmotaleb
    Laamarti, Fedwa
    Alja'Afreh, Mohammad
    [J]. IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE, 2021, 24 (03) : 36 - 41
  • [3] The adoption of urban digital twins
    Ferre-Bigorra, Jaume
    Casals, Miquel
    Gangolells, Marta
    [J]. CITIES, 2022, 131
  • [4] Digital Twins for Urban Mobility
    Bachechi, Chiara
    [J]. NEW TRENDS IN DATABASE AND INFORMATION SYSTEMS, ADBIS 2022, 2022, 1652 : 657 - 665
  • [5] Digital twins in urban informatics
    Michael F. Goodchild
    Dylan Connor
    A. Stewart Fotheringham
    Amy Frazier
    Peter Kedron
    Wenwen Li
    Daoqin Tong
    [J]. Urban Informatics, 3 (1):
  • [6] Uncovering the challenges of urban digital twins
    Lei, Binyu
    Janssen, Patrick
    Stoter, Jantien
    Biljecki, Filip
    [J]. GIM INTERNATIONAL-THE WORLDWIDE MAGAZINE FOR GEOMATICS, 2023, 37 (4-5): : 18 - 21
  • [7] Humans As Sensors in Urban Digital Twins
    Lei, Binyu
    Su, Yunlei
    Biljecki, Filip
    [J]. RECENT ADVANCES IN 3D GEOINFORMATION SCIENCE, 3D GEOINFO 2023, 2024, : 693 - 706
  • [8] City digital twins for urban resilience
    Therias, Adele
    Rafiee, Azarakhsh
    [J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2023, 16 (02) : 4164 - 4190
  • [9] Harnessing the potential of digital twins in seismology
    Luca Dal Zilio
    Domenico Giardini
    Ramon Carbonell
    Stefan Wiemer
    [J]. Nature Reviews Earth & Environment, 2023, 4 : 510 - 512
  • [10] Harnessing the potential of digital twins in seismology
    Dal Zilio, Luca
    Giardini, Domenico
    Carbonell, Ramon
    Wiemer, Stefan
    [J]. NATURE REVIEWS EARTH & ENVIRONMENT, 2023, 4 (08) : 510 - 512