RT info:eu-repo/semantics/article
T1 Deepint.net: A Rapid Deployment Platform for Smart Territories
A1 Corchado, Juan M.
A1 Chamoso, Pablo
A1 Hernández González, Guillermo
A1 San Román Gutiérrez, Agustín
A1 Rivas Camacho, Alberto
A1 González Briones, Alfonso
A1 Pinto Santos, Francisco
A1 Goyenechea, Enrique
A1 García Retuerta, David
A1 Alonso Miguel, María
A1 Bellido Hernández, Beatriz
A1 Valdeolmillos Villaverde, Diego
A1 Sánchez Verdejo, Manuel
A1 Plaza Martínez, Pablo
A1 López Pérez, Manuel
A1 Manzano García, Sergio
A1 Alonso Rincón, Ricardo S.
A1 Casado Vara, Roberto Carlos
A1 Prieto Tejedor, Javier
A1 Prieta, Fernando de la
A1 Rodríguez González, Sara
A1 Parra Domínguez, Javier
A1 Saberi Mohamad, Mohd
A1 Trabelsi, Saber
A1 Díaz Plaza, Enrique
A1 García Coria, José Alberto
A1 Yigitcanlar, Tan
A1 Novais, Paulo
A1 Omatu, Sigeru
K1 Smart cities
K1 Smart cyberphysical platform
K1 Data analysis
K1 Data visualization
K1 Edge computing
K1 Artificial intelligence
K1 Bike renting
K1 Informática
K1 Computer science
AB This paper presents an efficient cyberphysical platform for the smart management ofsmart territories. It is efficient because it facilitates the implementation of data acquisition anddata management methods, as well as data representation and dashboard configuration. Theplatform allows for the use of any type of data source, ranging from the measurements of a multifunctional IoT sensing devices to relational and non-relational databases. It is also smart becauseit incorporates a complete artificial intelligence suit for data analysis; it includes techniques fordata classification, clustering, forecasting, optimization, visualization, etc. It is also compatible withthe edge computing concept, allowing for the distribution of intelligence and the use of intelligentsensors. The concept of smart cities is evolving and adapting to new applications; the trend to createintelligent neighbourhoods, districts or territories is becoming increasingly popular, as opposed tothe previous approach of managing an entire megacity. In this paper, the platform is presented,and its architecture and functionalities are described. Moreover, its operation has been validatedin a case study where the bike renting service of Paris—Vélib’ Métropole has been managed. Thisplatform could enable smart territories to develop adapted knowledge management systems, adaptthem to new requirements and to use multiple types of data, and execute efficient computationaland artificial intelligence algorithms. The platform optimizes the decisions taken by human expertsthrough explainable artificial intelligence models that obtain data from IoT sensors, databases, theInternet, etc. The global intelligence of the platform could potentially coordinate its decision-making processes with intelligent nodes installed in the edge, which would use the most advanced dataprocessing techniques.
PB MDPI
YR 2021
FD 2021-01
LK http://hdl.handle.net/10259/7236
UL http://hdl.handle.net/10259/7236
LA eng
NO This work has been partially supported by the European Regional Development Fund (ERDF) through the Interreg Spain-Portugal V-A Program (POCTEP) under grant 0677_DISRUPTIVE_2_E, the project My-TRAC: My TRAvel Companion (H2020-S2RJU-2017), the project LAPASSION, CITIES (CYTED 518RT0558) and the company DCSC. Pablo Chamoso’s research work has been funded through the Santander Iberoamerican Research Grants, call 2020/2021, under the direction of Paulo Novais.
DS Repositorio Institucional de la Universidad de Burgos
RD 26-abr-2024