Cissa: modelo conceitual de cidade inteligente e segura baseado em sistema autoadaptativo

• Ano de defesa: 2020
• Autor(a) principal: Silva, Pablo Ignacio Marambio
• Orientador(a): Nascimento, Rogério Patrício Chagas do
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Programa de Pós-Graduação: Pós-Graduação em Ciência da Computação
• Palavras-chave em Português: Computação; Cidades inteligentes; Segurança pública; Sistemas inteligentes de controle; Sistema autoadaptativo
• Palavras-chave em Inglês: Computational solutions; Self-adaptive system; Public security; Smart city
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: https://ri.ufs.br/jspui/handle/riufs/14131

Smart cities represent innovative urban environments that make intensive use of Information and Communication Technologies (ICTs) which, together with the Internet of Things (IoT) paradigm, aim to increase efficiency in the provision of public services and enable citizens to have their demands met almost that in real-time. One of the main challenges of urban governance is public security, which emerges as an indispensable component for the city to achieve its strategic objective of improving the population's living conditions. Smart and safe cities can adopt self-adaptive and computational solutions to meet the demands and strengthen public security policies. In this context, the self-adaptive system represents a promising solution with the ability to autonomously modify its behavior at run time in response to changes in the environment. Given the above, this work had as main objective to develop a conceptual model of Smart and Safe City based on Self-Adaptive System (CISSA, in portuguese). For that, exploratory research was used with a qualitative and quantitative methodological approach based on bibliographic research, Systematic Mapping of Literature (MSL), and documentary analysis. From the MSL, the main computational solutions and public security demands in the context of smart cities were identified. These results guide the construction of the CISSA model organized in three layers. Concept and demand layers address a specific definition of smart city and present a structure for the identification and classification of public security demands that contribute to provide guidelines on which the infrastructure layer through the self-adaptive system, monitors the environment and autonomously manages the system process of selecting solutions, adapting their behavior when necessary to solve public security challenges in the city. To evaluate the CISSA model, verification was carried out in scenarios of previous studies. With the results obtained, it was realized that the CISSA model can guide city administrators in projects that seek to establish plans to make cities smarter and safer.