Big Data meets Smart City – Optimization of Multimodal Flow Networks

Conference: VDE-Kongress 2014 - Smart Cities – Intelligente Lösungen für das Leben in der Zukunft
10/20/2014 - 10/21/2014 at Frankfurt am Main, Deutschland

Proceedings: VDE-Kongress 2014

Pages: 6Language: englishTyp: PDF

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Rusitschka, Sebnem; Solomakhina, Nina; Watzke, Michael; Lamparter, Steffen; Becher, Silvio (Siemens AG Corporate Technology, Erlangen, Germany)

Smart cities are complex systems of resource infrastructures such as energy, transport, and information. The many stakeholders of a smart city ecosystem, from infrastructure to service providers to end users, require a common understanding of these complexities and the potential synergies. Only if synergies in resource usage across all interdependent infrastructure are leveraged, can the complexities associated with big data in smart cities be addressed, i.e. potentially massive amounts of data coming from intelligent infrastructures and especially always connected end users giving way to unnecessary data storage and potential profiling. The generic city node model introduced in this paper, with the accompanying definition of energy and transport networks as multimodal flow networks, which can be cross-optimized, enables the exploration of such synergies on a technical as well as stakeholder, i.e. business model, level. Some of the requirements for a smart data infrastructure, which follow after a high-level exploration of scenarios, are presented as well as applications and stakeholders.