Deep Air-A Smart City AI Synthetic Data Digital Twin Solving the Scalability Data Problems

Esteve Almirall, Davide Callegaro, Peter Bruins, Mar Santamaría, Pablo Martínez, Ulises Cortés

Research output: Book chapterConference contributionpeer-review

2 Citations (Scopus)

Abstract

Cities are becoming data-driven, re-engineering their processes to adapt to dynamically changing needs. A.I. brings new capabilities, effectively enlarging the space of policy interventions that can be explored and applied. Therefore, new tools are needed to augment our capacity to traverse this space and find adequate policy interventions. Digital twins are revealing themselves as powerful tools for policy experimentation and exploration, allowing faster and more complete explorations while avoiding costly interventions. However, they face some problems, among them data availability and model scalability. We introduce a digital twin framework based on an A.I. and a synthetic data model on NO2 pollution as a proof-of-concept, showing that this approach is feasible for policy evaluation and (autonomous) intervention and solves the problems of data scarcity and model scalability while enabling city level Open Innovation.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development - Proceedings of the 24th International Conference of the Catalan Association for Artificial Intelligence
EditorsAtia Cortes, Francisco Grimaldo, Tommaso Flaminio
PublisherIOS Press BV
Pages83-86
Number of pages4
ISBN (Electronic)9781643683263
DOIs
Publication statusPublished - 17 Oct 2022
Externally publishedYes
Event24th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2022 - Sitges, Spain
Duration: 19 Oct 202221 Oct 2022

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume356
ISSN (Print)0922-6389

Conference

Conference24th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2022
Country/TerritorySpain
CitySitges
Period19/10/2221/10/22

Keywords

  • Digital Twins
  • Digital twins and synthetic data
  • Smart City Policy
  • Synthetic data

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