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

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

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 originalInglés
Título de la publicación alojadaArtificial Intelligence Research and Development - Proceedings of the 24th International Conference of the Catalan Association for Artificial Intelligence
EditoresAtia Cortes, Francisco Grimaldo, Tommaso Flaminio
EditorialIOS Press BV
Páginas83-86
Número de páginas4
ISBN (versión digital)9781643683263
DOI
EstadoPublicada - 17 oct 2022
Publicado de forma externa
Evento24th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2022 - Sitges, Espana
Duración: 19 oct 202221 oct 2022

Serie de la publicación

NombreFrontiers in Artificial Intelligence and Applications
Volumen356
ISSN (versión impresa)0922-6389

Conferencia

Conferencia24th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2022
País/TerritorioEspana
CiudadSitges
Período19/10/2221/10/22

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