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Abstract(s)
A segurança dos peões em passadeiras urbanas permanece um desafio significativo, mesmo com as melhorias alcançadas nas ´ultimas décadas. Dado o abrandamento na redução dos atropelamentos, torna-se imperativo explorar novas abordagens que integrem tecnologias emergentes no contexto das cidades inteligentes. Esta dissertação teve como objetivo principal desenvolver soluções inovadoras que reforcem a eficiência e a conectividade das infraestruturas urbanas, com foco no projeto VALLPASS e na tecnologia de Comunicação por Luz Visível (VLC). No âmbito do projeto VALLPASS, foi implementada uma plataforma de gestão remota ”Powered by FIWARE”, sustentada por um modelo de dados semântico conforme a especificação NGSI-LD. Este trabalho contribuiu para a definição do modelo de dados, a conceção da arquitetura da plataforma e o desenvolvimento de uma aplicação web de gestão. Estas ferramentas permitem a monitorização e o controlo eficaz das passadeiras inteligentes, promovendo a interoperabilidade e integração com outras infraestruturas de cidades inteligentes.
Além disso, inspirado pela arquitetura de alto nível do sistema VALLPASS, investigou-se a viabilidade e a eficiência da VLC para comunicação direta entre postes de iluminação publica. Este estudo envolveu a criação de um cenário experimental, baseado no padrão IEEE 802.15.7, onde se validou a capacidade da VLC como uma solução complementar as tecnologias de comunicação tradicionais.
Os resultados obtidos comprovam a eficácia da plataforma de gestão remota e a relevância do modelo de dados semântico na gestão de infraestruturas urbanas. Adicionalmente, a investigação sobre a VLC evidenciou o seu potencial para melhorar a conectividade em ambientes urbanos densamente povoados. Conclui-se que a integração destas tecnologias contribui significativamente para a evolução das cidades inteligentes e para a segurança rodoviária, abrindo caminho para futuros desenvolvimentos e otimizações.
The safety of pedestrians at urban crosswalks remains a significant challenge, even with improvements achieved in recent decades. Given the slowdown in the reduction of pe- destrian accidents, it is imperative to explore new approaches that integrate emerging technologies within the context of smart cities. The primary aim of this dissertation was to develop innovative solutions that enhance the efficiency and connectivity of urban infrastructures, focusing on the VALLPASS project and Visible Light Communication (VLC) technology. Within the scope of the VALLPASS project, a remote management platform ”Powered by FIWARE”was implemented, supported by a semantic data model compliant with the NGSI-LD specification. This work contributed to defining the data model, designing the platform architecture, and developing a web management application. These tools enable effective monitoring and control of smart crosswalks, promoting interoperability and integration with other smart city infrastructures. Furthermore, inspired by the high-level architecture of the VALLPASS system, the feasibility and efficiency of VLC for direct communication between street lighting poles were investigated. This study involved creating an experimental scenario based on the IEEE 802.15.7 standard, which validated VLC’s capability as a complementary solution to traditional communication technologies. The results obtained confirm the effectiveness of the remote management platform and the relevance of the semantic data model in urban infrastructure management. Additionally, the research on VLC demonstrated its potential to improve connectivity in densely populated urban environments. It is concluded that integrating these technologies significantly contributes to the evolution of smart cities and road safety, paving the way for future developments and optimizations.
The safety of pedestrians at urban crosswalks remains a significant challenge, even with improvements achieved in recent decades. Given the slowdown in the reduction of pe- destrian accidents, it is imperative to explore new approaches that integrate emerging technologies within the context of smart cities. The primary aim of this dissertation was to develop innovative solutions that enhance the efficiency and connectivity of urban infrastructures, focusing on the VALLPASS project and Visible Light Communication (VLC) technology. Within the scope of the VALLPASS project, a remote management platform ”Powered by FIWARE”was implemented, supported by a semantic data model compliant with the NGSI-LD specification. This work contributed to defining the data model, designing the platform architecture, and developing a web management application. These tools enable effective monitoring and control of smart crosswalks, promoting interoperability and integration with other smart city infrastructures. Furthermore, inspired by the high-level architecture of the VALLPASS system, the feasibility and efficiency of VLC for direct communication between street lighting poles were investigated. This study involved creating an experimental scenario based on the IEEE 802.15.7 standard, which validated VLC’s capability as a complementary solution to traditional communication technologies. The results obtained confirm the effectiveness of the remote management platform and the relevance of the semantic data model in urban infrastructure management. Additionally, the research on VLC demonstrated its potential to improve connectivity in densely populated urban environments. It is concluded that integrating these technologies significantly contributes to the evolution of smart cities and road safety, paving the way for future developments and optimizations.
Description
Keywords
FIWARE NGSI-LD VLC Comunicação por luz visível Cidades inteligentes Passadeiras inteligentes