Algorithms for the Control of Key Performance Indicators for Smart Cities
Author(s) -
Jesus Silva,
Julio Mojica,
Aurora Piñeres,
Rafael Moreno Rojas,
Sandra Rodríguez Acosta,
Jesús García Guliany,
Ernesto Steffens Sanabria
Publication year - 2020
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2020.03.099
Subject(s) - computer science , key (lock) , control (management) , scheme (mathematics) , smart city , order (exchange) , population , inclusion (mineral) , performance indicator , environmental economics , operations research , computer security , internet of things , artificial intelligence , business , gender studies , mathematical analysis , demography , mathematics , finance , marketing , sociology , economics , engineering
In addition to the increase in the population in cities, there is an increase in the demand for resources and services, and phenomena such as the lack of social inclusion and inequity appear. In order to mitigate these problems, Smart Cities propose the development of measurement strategies that support decision-making, which implies the management of an indefinite number of indicators. This paper presents the design and a prototype that implements the algorithms of a general scheme for the control of key performance indicators for Smart Cities.
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