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

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

2 Cites (Scopus)

Resum

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.

Idioma originalAnglès
Títol de la publicacióArtificial Intelligence Research and Development - Proceedings of the 24th International Conference of the Catalan Association for Artificial Intelligence
EditorsAtia Cortes, Francisco Grimaldo, Tommaso Flaminio
EditorIOS Press BV
Pàgines83-86
Nombre de pàgines4
ISBN (electrònic)9781643683263
DOIs
Estat de la publicacióPublicada - 17 d’oct. 2022
Publicat externament
Esdeveniment24th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2022 - Sitges, Spain
Durada: 19 d’oct. 202221 d’oct. 2022

Sèrie de publicacions

NomFrontiers in Artificial Intelligence and Applications
Volum356
ISSN (imprès)0922-6389

Conferència

Conferència24th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2022
País/TerritoriSpain
CiutatSitges
Període19/10/2221/10/22

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