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Smart Cities: How Data Mining and Optimization Can Shape Future Cities

Published on Oct 03, 20116520 Views

By 2050, an estimated 70% of the world’s population will live in cities – up from 13% in 1900. Already, cities consume an estimated 75% of the world’s energy, emit more than 80% of greenhouse gases, a

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Chapter list

Smart Cities – How Can Data Mining and Optimization Shape Future Cities?00:00
IBM Research Worldwide (1)00:23
IBM Research Worldwide (2)00:47
Smarter Cities Technology Centre01:18
Many Visions of what a Smarter City might be02:25
But we know they’ll intensively leverage ICT technologies02:37
How can we help cities achieve their aspirations?03:46
Outline06:39
Continuous assimilation of real-time traffic data07:54
Massive Amounts of Diverse, Noisy Data08:09
Our Stockholm Experience (2009)08:36
Noisy GPS Data09:39
Real-Time Geomapping and Speed Estimation10:31
Real-Time Traffic Information11:54
Our Dublin Experience (2011) -112:20
Our Dublin Experience (2011) - 213:22
Our Dublin Experience (2011) - 313:25
Our Dublin Experience (2011) - 414:23
Our Dublin Experience (2011) - 515:21
Our Dublin Experience (2011) - 616:21
Outline18:47
Understanding urban dynamics from digital traces19:04
Pervasive Technologies Datasets as Digital Footprints19:30
Understanding Urban Dynamics20:14
Mobile phones to detect human mobility and interactions21:42
How geography influences the way people interact22:45
Regional partitioning based on level of interaction24:10
How travel demand changes over space and time25:53
Modeling Urban Mobility: Spatio-Temporal Patterns27:08
Modeling urban mobility – transportation mode28:09
How social events impact mobility in the city29:12
Detecting and predicting travel demand29:39
Event types and attendance origins30:11
Applications30:34
Summary31:14
Outline32:10
Leveraging mathematical programming for planning in an uncertain world32:33
Overview32:42
Planning Levels34:10
Examples of Decisions34:35
Impact of Uncertainty35:26
Traditional vs. Proposed Approach (1)35:58
Traditional vs. Proposed Approach (2)37:19
Challenges39:06
Example: Leak detection and maintenance planning40:32
Example: Valve placement43:20
Case study: Optimized pump scheduling43:58
Example: Water treatment infrastructure (1)45:59
Example: Water treatment infrastructure (2)46:52
Example: Transportation infrastructure (1)47:24
Example: Transportation infrastructure (2)48:37
Summary49:06
How can we help cities achieve their aspirations?49:52
Publications50:29