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Data-in-the-Cloud City
- 1. Data-in-the-Cloud City Proactive Analysis of Digital Information about the city ! ! Gonzalo A. ARANDA-CORRAL Alejandro BLANCO-ESCUDERO Universidad de Huelva Yaco Sistemas Department of Information Technology alejandro.b.e@gmail.com gonzalo.aranda@dti.uhu.es Joaquín BORREGO-DÍAZ Manuel GOMAR-ACOSTA Universidad de Sevilla Elelog S.L. Dept. of Computer Science and AI mangomaco@gmail.com jborrego@us.es
- 2. Index Motivation & Goals Datain the WWW and associated services Simulating extreme dynamics Multiagent Arch Results Conclusions and Future Work
- 3. Motivation (I): Context eCompleXcity Emergent concepts in complex systems. Applications to Urban environments and Cultural Complexity Excellence Project. Junta de Andalucía. Spain
- 4. Motivation (II): DigitalInformation So c ia 0 lM 2. Marketing ed eb ia W Heterogeneity Different nature Architecture Urbanism Goal-driven Different information flows ns Lo tio Media Art c ¿Reusable? ic a at se ion B rv un ice ase s d m com le Te
- 5. Motivation (III) Urbandynamics simulated from WWW data he nt r Multiagent Systems a i fo at d D (MAS) for simulating C lou an Complex Behaviour from U rb cs? mining WWW information na mi Dy Limits of MAS simulation from Data about cities
- 6. City as aComplex System Different views: Data city Social Network city City as a ground of cyberinfrastructure Local Interaction versus Global interaction !
- 7. Emergent Research Line Collectand process data for new applications, services, and planning Analysis of urban behaviour Open Data initiatives facilitate R&D initiatives
- 8. Some questions... How areWWW data about a city? What about the quality? Are they useful? Can they be improved?
- 9. pre-Digital Cities versus SmartCities pre-Digital City: ¿Able to consume data? Smart City: To produce and consume its own data
- 10. Data Flows I2U U2U Op ial ks Da en oc or S w ta N et y ilit rab U Info rban pe ero rm I2I Int atic s U2I
- 11. Data flows aboutcities in WWW (I): Institutions to User (I2U) Essential to understand some urban process (dynamics) Historical data and analisys Main support of Opendata.
- 12. Data flows aboutcities in WWW (II): User to user U2U (entre usuarios): P2P Mobile devices and Social Web Information quality.
- 13. Data flows aboutcities in WWW (III): User to Institutions U2I Strong Growth Web 2.0 & Urban informatics
- 14. Data flows aboutcities in WWW (IV): Institutions to Institutions Unavailable to users Goverment (& enterprises) interoperability Increasing
- 15. Different data sourcesfor MAS simulation Extreme Urban dynamics Explore every WWW information about both Urban evolution under the city and the event exceptional circunstances Data comsumption by MAS pre-Digital city: New Orleans Extreme dynamics: Katrina hurricane (2005)
- 16. Why this event? First,Katrina is one of the There exists a big amount most destructive of data source and Web hurricane suffered by a services associated (or developed country, USA consumable by) Geographic Information The extent of damage Systems with public invites for a macroscopic access analysis of the incident
- 17. Bounding the scope Inorder to evaluate the In some cases a quality, accessibility and reparation of defficent usefulness of I2U data is necessary It considers only I2U Mainly, data from global accessible by WWW, information systems (or Internet or deep Internet U.S. Agencies) ( that is, accessible via more specific data may search forms) limit the reusability.
- 18. Why MAS? MAS basedsimulation methodology allows to estimate how affect data quality to each module of I2U main flow for this the system: simulation Statistical results from surveys useful for agents- citizens behaviour.
- 19. I2U about NewOrleans, Katrina and its effects (I) U.S. Geological Survey (http://www.usgs.gov/) National Elevation Dataset (http://ned.usgs.gov/). Precisions ~ 3 meters Open Street Maps (OSM, http:// ! www.openstreetmap.org/),
- 20. Geographical Area ! Main Area Divided into 3 !
- 21. Agents Modelling Agentification Process 3kind of agents Environment Water Citizens
- 22. Environment agents Information aboutterrain Discretized in hexagons Update water information (by WaterAgent request) Citizen Agents ask information to environment agents
- 23. Water agents (I) Potential energy: Reactive agent Direction Speed Unaffordable information River is initial agent state
- 24. Water agents (II) Future; Buildings geometry ! ! http://sketchup.google.com/ Complemented by OSM.
- 25. Citizen agents Papersabout social Also design groups of behaviour in critical agents situations Based on published Fundamental to citizen information agents design MAS level Patterns of behaviour Evacuation paths from the surveys of survivors Group behaviour in panic situations Prevent riskies situations
- 26. Visualization Based onOSM and Google Maps/Earth Some extra data: Disaster scope Survivors / zone etc... http://www.youtube.com/watch?v=pTKhrpl9jZc
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- 28. Conclusions I2U information flowsis used, in this work, to simulate urban phenomena Simulation needs digital information from cities and its own feedback Previous and exhaustive information analysis and clasification its fundamental to start any kind of urban cloud computing
- 29. Future Work Use ComplexSystems methodologies to analyse and to compare events and simulations To detect emergent phenomena in digital cities by means of simulation and Data mining
- 30. Data-in-the-Cloud City Proactive Analysis of Digital Information about the city ! ! Thanks for your attention