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2020-05

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Digital and programmable economy applications: A smart cities congestion case by fuzzy sets

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Recurs relacionat

https://doi.org/10.3233/JIFS-179632

Resum

Currently, cities are facing great challenges such as the population growing, citizen wellbeing, externalities management or environmental deterioration. The search for solutions are making significant inroads into the incorporation of ICT in them and subsequent large-scale digitalization such as programmable economy (PE) applications, offering the possibility to develop new approaches over these issues, in particular which related to sustainability management. Operating under a fuzzy numbers methodology and FIS (Fuzzy Inference System), the present exploratory work shows a new approach to city urban congestion management by deploying PE applications, which include some disruptive inputs such as the Internet of value, blockchain/DLT (distributed ledger, technology), smarts contracts, digital assets and the monetization, all of this combined with the human motivation.

Matèries

Narrativa digital, Economia, Ciutats intel·ligents, Cadena de blocs (Bases de dades), Xarxa lògica programable, Congestió del trànsit, Conjunts borrosos

Matèries (anglès)

Digital storytelling, Economics, Smart cities, Blockchains (Databases), Programmable array logic, Traffic congestion, Fuzzy sets

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Citació

HERRAIZ FAIXÓ, Ferran, ARROYO CAÑADA, Francisco javier, LÓPEZ-JURADO GONZÁLEZ, María pilar, LAUROBA PÉREZ, Ana m.. Digital and programmable economy applications: A smart cities congestion case by fuzzy sets. _Journal of Intelligent and Fuzzy Systems_. 2020. Vol. 38, núm. 5, pàgs. 5391-5404. [consulta: 11 de febrer de 2026]. ISSN: 1064-1246. [Disponible a: https://hdl.handle.net/2445/183945]

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