Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Urban Computing: The Technological Framework for Smart Cities
Increased urbanization is putting a strain on the limited shared urban resources, for example, road space, energy, and clean air and water. Smart cities leverage technology to manage such shared resources more efficiently, thereby improving citizens’ quality of life. This chapter introduces and discusses technical challenges in managing city-scale resource infrastructures and potential solutions. We frame the discussion within the Sense-Analyze-Actuate paradigm, a model leveraged by most smart city solutions. The Sense step entails gathering data from existing or newly deployed dedicated sensors, owned by public agencies and businesses, as well as contributed by citizens. In the Analyze step, these disparate and often unreliable sources of data are fused to improve the authenticity of data (improving detection, confidence, reliability, and reducing ambiguity) as well as extending its spatial and temporal coverage. In this step, optimization techniques, and artificial intelligence in particular, allow to reason on the data, making resource management decisions in a centralized or decentralized approach. In the Actuate step, the results of the analysis can either be presented to human operators, i.e., visualized for decisions support, or used to directly actuate the changes, adapted to the specific urban resource.
Urban Computing: The Technological Framework for Smart Cities
Increased urbanization is putting a strain on the limited shared urban resources, for example, road space, energy, and clean air and water. Smart cities leverage technology to manage such shared resources more efficiently, thereby improving citizens’ quality of life. This chapter introduces and discusses technical challenges in managing city-scale resource infrastructures and potential solutions. We frame the discussion within the Sense-Analyze-Actuate paradigm, a model leveraged by most smart city solutions. The Sense step entails gathering data from existing or newly deployed dedicated sensors, owned by public agencies and businesses, as well as contributed by citizens. In the Analyze step, these disparate and often unreliable sources of data are fused to improve the authenticity of data (improving detection, confidence, reliability, and reducing ambiguity) as well as extending its spatial and temporal coverage. In this step, optimization techniques, and artificial intelligence in particular, allow to reason on the data, making resource management decisions in a centralized or decentralized approach. In the Actuate step, the results of the analysis can either be presented to human operators, i.e., visualized for decisions support, or used to directly actuate the changes, adapted to the specific urban resource.
Urban Computing: The Technological Framework for Smart Cities
Augusto, Juan Carlos (Herausgeber:in) / Bouroche, Mélanie (Autor:in) / Dusparic, Ivana (Autor:in) / Augusto, Juan Carlos
Handbook of Smart Cities ; Kapitel: 5 ; 89-112
10.07.2021
24 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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