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Smart Cities

Smart Cities. Dagstuhl Feb 24, 2015 Participants: Kai Heussen , Hanno Hildmann , Longbo Huang, Milan Milenkovic (moderator), Johanna Myrzik , Jose Rivera, Misha Schmidt, Hans-Peter Schwefel , Joachim Sokol , … later joined by the transportation team – Randy Katz et al.

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Smart Cities

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  1. Smart Cities Dagstuhl Feb 24, 2015 Participants: Kai Heussen, Hanno Hildmann, Longbo Huang, Milan Milenkovic (moderator), Johanna Myrzik, Jose Rivera, Misha Schmidt, Hans-Peter Schwefel, Joachim Sokol, … later joined by the transportation team – Randy Katz et al.

  2. Outline – major categories • Definition/attributes • Use cases • Barriers and drivers • Research topics and challenges • Misc

  3. Smart City – definition/attributes • Informed (ICT: sensed, open data, crowdsourcing), data-based decisions and operations • citizens + government • <adaptive infrastructure> • Social component – network (ICT) • Holistic view – based on the above • Real-time sensing and reaction to events • Metrics, objectives, criteria • Quality of life • Efficiency – energy, transportation, operations • Safety • Resilient • Sharing economy?

  4. Economic Competiveness • Job opportunities • Attract skilled workforce • Municipal finances • Infrastructure • Regulation • Processes and Administration Compe- tiveness • Environment • Resource efficiency • Availability of information • Abate Co2 emissions • Waste treatment • Behavior and consumer • culture • Ensure air and water • quality • Quality of Living • Implement suitable infrastructure • Access to affordable healthcare • Good education resources • Good offerings for leisure time • Ensure social equity • Food / Goods supply • Mobility offerings • Safety Governance Environment Qualityof Living

  5. Use Cases • Energy efficiency • buildings – commercial and residential • Security, crime (prevention) • Transportation • public • multimodal, commuting • real-time tracking • sharing here? • Emergency (response) • Water usage, conservation • Maintenance, repair • potholes, water breaks • Air quality monitoring

  6. Use cases, p2 • Citizen participation • input, communicate with government and each other • crowdsourcing info, e.g. traffic app • Shared transportation • bicycles, electric cars, zipcars • Smart parking • Smart lighting • Crowd control • including prediction of human (group) behavior • (business) attractiveness

  7. Barriers and Drivers • IOT/ICT infrastructure cost and complexity • administrative and organizational “silos” in city administration • privacy concerns • security • digital divide • ownership of (existing) infrastructure • existing (age of) infrastructure • local culture (affinity: sharing, computers) • level of education • social and economic divide • demographic – age distribution • legislation • communications – mobile/cellular data communication for sensors • data ownership

  8. Research topics and challenges, p1 Near-term research goals (2 years out) • concepts for integrated or federated (evolution of) computing infrastructure • standards – data and meta-data interoperable formats • Common set of (generic) use cases S • meta-data requirements and format • Cross-silo integration at service level for (collaboration) infrastructure • big data – storage and analytics : access to multi-domain data sources • open standards for IoT sensing • simulations / planning studies – demonstrate impact of changes • to be done in advance before engagement, multi-dimensional

  9. Research topics and challenges, p2 Mid-term research goals (5 years out) • Integrated or federated computing infrastructure – • “smart city” platform and service-level interoperability demonstration • federation of “smart city” services listed earlier • standards – data and meta-data interoperable formats • understood, tested and (widely?) deployed • linkage between ICT and energy / water / transport sensing infrastructure • big data – holistic data processing – including social media and consumer • big-data driven control & operator support • (common) reference architecture for end-to-end system • including interoperable data and metadata formats • real-time stream processing vs. batch processing • distributed vs. centralized processing • computing and communication, tradeoff • legislation and security, privacy • energy footprint for IoT and data • “Smart city emergency/disaster response training center”

  10. Research topics and challenges, p3 Long-term research goals (10 years out) • Modular (multi-vendor) smart-city platform that supports full interoperability and (third party) cross-domain application and service deployment • big data - based real-time action/control (closed loop, policy driven) • (common) reference architecture for end-to-end system with distributed data processing, storage, and analytics (?)

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