Thearticleexaminestheapplicationofartificialintelligence(AI)in“DigitalTwin”modelstoenhanceurbandecision-makingprocesses.Theauthorsconsiderthepotentialofdigitaltwins,whicharevirtualreplicasofphysicalsystems,tooptimisetheplanningandmanagementofsmartcities.AI,whenintegratedintodigitaltwins,enablespredictions,thesimulationandreal-timemonitoringofcomplexfunctionssuchastraffic,energyconsumption,andsocialbehaviours,establishingthebasisformoreinformedandtimelydecisions.Thedigitaltwinconceptwasoriginallyappliedtoindustrialmanufacturingandhasexpandedtourbandesign.Aneffectivedigitaltwinmustrepresentphysicalrealityandrelatedprocesses,incorporatingup-to-datedataandusingadvancedAImodelsforpredictionsandsimulations.Thisapproachallowsformoreefficientandresilienturbanmanagement,improvingresponsivenesstounexpectedeventsandfacilitatinglong-termstrategicplanning.TheSnap4Cityplatformispresentedasanexampleofimplementingdigitaltwinsforsmartcities.Itintegratesdatafromdifferentsources,supportsreal-timeanalysisandvisualisation,andenablesAI-basedoperationalandstrategicmanagement.Snap4Cityshowssignificantbenefitsforpublicadministrations,improvingtheefficiencyofurbanservicesandpromotingsustainabilityandthewell-beingofcitizens.

Ottimizzazione delle Città Intelligenti: L'Utilizzo dei Gemelli Digitali e dell'Intelligenza Artificiale nei Processi Decisionali Urbani / Nesi, Paolo; Garau, Chiara; Zamperlin, Paola. - In: CONTESTI. - ISSN 2035-5300. - ELETTRONICO. - 2/2025:(2025), pp. 1-13. [10.36253/contest-16061]

Ottimizzazione delle Città Intelligenti: L'Utilizzo dei Gemelli Digitali e dell'Intelligenza Artificiale nei Processi Decisionali Urbani

Nesi, Paolo
Membro del Collaboration Group
;
Zamperlin, Paola
Membro del Collaboration Group
2025

Abstract

Thearticleexaminestheapplicationofartificialintelligence(AI)in“DigitalTwin”modelstoenhanceurbandecision-makingprocesses.Theauthorsconsiderthepotentialofdigitaltwins,whicharevirtualreplicasofphysicalsystems,tooptimisetheplanningandmanagementofsmartcities.AI,whenintegratedintodigitaltwins,enablespredictions,thesimulationandreal-timemonitoringofcomplexfunctionssuchastraffic,energyconsumption,andsocialbehaviours,establishingthebasisformoreinformedandtimelydecisions.Thedigitaltwinconceptwasoriginallyappliedtoindustrialmanufacturingandhasexpandedtourbandesign.Aneffectivedigitaltwinmustrepresentphysicalrealityandrelatedprocesses,incorporatingup-to-datedataandusingadvancedAImodelsforpredictionsandsimulations.Thisapproachallowsformoreefficientandresilienturbanmanagement,improvingresponsivenesstounexpectedeventsandfacilitatinglong-termstrategicplanning.TheSnap4Cityplatformispresentedasanexampleofimplementingdigitaltwinsforsmartcities.Itintegratesdatafromdifferentsources,supportsreal-timeanalysisandvisualisation,andenablesAI-basedoperationalandstrategicmanagement.Snap4Cityshowssignificantbenefitsforpublicadministrations,improvingtheefficiencyofurbanservicesandpromotingsustainabilityandthewell-beingofcitizens.
2025
2/2025
1
13
Nesi, Paolo; Garau, Chiara; Zamperlin, Paola
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1447533
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