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Urban Modeling Using Big Data

http://www.ad-exchange.fr/

Vahid Moosavi
Researcher at Future Cities Laboratory
PhD Studen...
Outline

• Our understanding of Big Data and its applications
• My research interests related to Big Data
• Possible Appli...
What Can We Do With Big Data?
Comparing Two Modeling Extremes

Issues
Scope of applications
(complexity as a function of n...
Big Data Landscape and My Research Interests
(How to go beyond simple data analytics toward a new data literacy)

Practica...
Some of the Possible Applications
1- Modeling Urban Traffic Dynamics Using Urban Data Streams

Road communities based on
movement of the cars not just the
p...
2- A Generic Setup for Text Modeling in Association With Other Data Streams
(How to gain insight from lots of low-economic...
Conclusion
• Big Data can be considered as a new capability to revolutionize the
concept of modeling and decision making i...
Thanks!
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Bi g data_urban modeling_21082013

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Bi g data_urban modeling_21082013

  1. 1. Urban Modeling Using Big Data http://www.ad-exchange.fr/ Vahid Moosavi Researcher at Future Cities Laboratory PhD Student at Chair for Computer Aided Architectural Design (CAAD), ETH Zurich 26 August 2013 SEC svm@arch.ethz.ch
  2. 2. Outline • Our understanding of Big Data and its applications • My research interests related to Big Data • Possible Applications
  3. 3. What Can We Do With Big Data? Comparing Two Modeling Extremes Issues Scope of applications (complexity as a function of number of aspects and the relations between elements of the system. (e.g. a wooden chair vs. a city) Classic Modeling paradigm Emerging Modeling Paradigm (Theory (model) driven) (Data Driven) Simple systems Complex Systems Simple systems Complex Systems Fully Applied Limited Application Fully Applied Can be Applied Primary element of modeling process Theory (Model) Data Observing, sensing and data gathering Expensive (Low Volume, Velocity and Variety) Cheap, Pervasive and Ubiquitous (High Volume, Velocity and Variety) Structured Unstructured and Structured Designed DBs (e.g. RDBMS, SQL) Complex Event Processing, Cloud Computing Form of Data Data management
  4. 4. Big Data Landscape and My Research Interests (How to go beyond simple data analytics toward a new data literacy) Practical Application Domains Data Management Data-Driven Modeling Technologies Complex Event Processing Information Visualization Clustering and Grouping Data Management and Data Processing Signal Processing /Time Series Forecasting Data-Infrastructures • My research focus areas with red color Prediction and Classification
  5. 5. Some of the Possible Applications
  6. 6. 1- Modeling Urban Traffic Dynamics Using Urban Data Streams Road communities based on movement of the cars not just the physical road network Areas with high potential of traffic jam The conceptual set up GPS Trajectory of Taxicabs, Beijing Vahid Moosavi, Ludger Hovestadt, Urban Computing, 2013 highly critical areas for the whole traffic flow
  7. 7. 2- A Generic Setup for Text Modeling in Association With Other Data Streams (How to gain insight from lots of low-economic value data?) Sentiment Analysis Text Processing Prediction and classification Search APIs Pattern recognition Markov Chain SOM Text Modeling Text Streams Real estate movement traces Stock Market Smart Grid Quantitative Data Decision Making
  8. 8. Conclusion • Big Data can be considered as a new capability to revolutionize the concept of modeling and decision making in many fields. But for that a new data literacy is required. • My main research interest is to learn and develop generic modeling technologies, using a specific category of mathematical and computational modeling techniques which are only feasible in coexistence with Big Data. • And finally to apply this generic set up into different practical applications
  9. 9. Thanks!

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