Authors:
Gustavo H. R. P. Tomas
1
;
Welington M. da Silva
1
;
Kiev Gama
2
;
Vinicius C. Garcia
2
and
Alexandre Alvaro
3
Affiliations:
1
Federal University of Pernambuco (UFPE) and Recife Center for Advanced Studies and Systems (C.E.S.A.R), Brazil
;
2
Federal University of Pernambuco (UFPE), Brazil
;
3
Federal University of São Carlos (UFSCar), Brazil
Keyword(s):
Smart Cities, Internet of Things, Architecture.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Cloud Computing
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Data Communication Networking
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Health Information Systems
;
Integration/Interoperability
;
Internet of Things
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Mobile Software and Services
;
Ontologies and the Semantic Web
;
Sensor Networks
;
Services Science
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software and Architectures
;
Software Engineering
;
Software Engineering Methods and Techniques
;
Symbolic Systems
;
Telecommunications
;
Ubiquitous Computing
;
Web Services
;
Wireless Information Networks and Systems
Abstract:
Big cities have noticeable problems resulting from poor management of urban services. Monitoring a city gives some parameters to evaluate the performance of urban services, allowing to identify their flaws, and elaborate strategic plains to correct them. Smart cities architectures are intended to propose Information and Communication Technologies (ICTs) solutions to increase service efectiveness. Considering that to establish a ICT infrastructure to support a smart city architecture is very expensive, once you have got the data and you know what urban service you will attend to, you can use a city simulator to test how the architecture will behave when facing the city’s problems. In this context we propose the Synaptic City architecture, together with a city simulator, with which we modeled a Brazilian city, Recife, Pernambuco, in order to discuss its main problems.