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Artificial intelligence of things for sustainable smart city brain and digital twin systems:Pioneering Environmental synergies between real-time management and predictive planning

Simon Elias Bibri Jeffrey Huang

环境科学与生态技术（英文）Issue(4)：14-41,28.

环境科学与生态技术（英文）Issue(4)：14-41,28.DOI:10.1016/j.ese.2025.100591

Artificial intelligence of things for sustainable smart city brain and digital twin systems:Pioneering Environmental synergies between real-time management and predictive planning

Simon Elias Bibri ¹Jeffrey Huang¹

作者信息

1. Institute of Computer and Communication Sciences(IINFCOM),School of Architecture,Civil and Environmental Engineering(ENAC),Media and Design Laboratory(LDM),Swiss Federal Institute of Technology Lausanne(EPFL),1015,Lausanne,Switzerland
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摘要

关键词

Sustainable smart cities/Artificial intelligence of things/Urban brain/Urban digital twin/Cyber-physical systems of systems/Real-time operational management/Strategic predictive planning/Environmental sustainability

Key words

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Simon Elias Bibri,Jeffrey Huang..Artificial intelligence of things for sustainable smart city brain and digital twin systems:Pioneering Environmental synergies between real-time management and predictive planning[J].环境科学与生态技术（英文）,2025,(4):14-41,28.

基金项目

The authors acknowledge the financial support provided by Innosuisse for the Blue City Flagship Project(Flagship ID#PFFS-21-03). （Flagship ID#PFFS-21-03）

环境科学与生态技术（英文）

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