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Profil bibliographique

Adrián Chust Ros

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

3Publications signalées
0Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Digital Transformation in IndustryBIM and Construction IntegrationTraffic control and managementSimulation Techniques and ApplicationsSmart Cities and Technologies

Les publications récentes

Accès ouvert 2026 article OpenAlex

A Framework for Conversational Digital Twins: Integrating Generative AI for Operational Event Simulation

Pablo Vicente-Martínez, Adrián Chust Ros, Emilio Soria‐Olivas, María Ángeles García-Escrivà et autres

Operational planning for large-scale events involves high uncertainty, heterogeneous data sources, and complex resource allocation decisions. Although digital twins and simulation models can support this process, their adoption is often limited by the technical expertise required to configure scenarios and interpret outputs. …

es (code pays fourni par la source)

0 citations Computers
Accès ouvert 2026 article OpenAlex

Generative AI-Driven Digital Twin Architecture for Urban Mobility Simulation and Decision Support

Pablo Vicente-Martínez, Emilio Soria‐Olivas, Adrián Chust Ros, María Ángeles García-Escrivà et autres

Urban mobility planning in smart cities requires sophisticated simulation tools, yet their complexity often creates a technical barrier for non-expert stakeholders. This paper presents a novel architecture that integrates generative artificial intelligence with digital twin technology to create an accessible and decision-support …

es (code pays fourni par la source)

0 citations Smart Cities
Accès ouvert 2026 preprint OpenAlex

A Framework for Conversational Digital Twins: Integrating Generative AI for Operational Event Simulation

Pablo Vicente Martínez, Adrián Chust Ros, Emilio Soria-Olivas, María Ángeles García-Escrivà et autres

Operational planning for large-scale events involves high uncertainty, heterogeneous data sources, and complex resource allocation decisions. Although digital twins and simulation models can support this process, their adoption is often limited by the technical expertise required to configure scenarios and interpret outputs. …

0 citations Preprints.org

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