Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Internet of Things and Data Analytics 
for Smart Cities 
1 
Payam Barnaghi 
Institute for Communication Systems (ICS) 
Uni...
2 
CityPulse: Large-scale data analytics 
for smart cities
What type of problems we expect to solve 
in 
“smart” cities
Future cities: A view from 1998 
Source LAT Times, http://documents.latimes.com/la-2013/ 4
5 
Source: http://robertluisrabello.com/denial/traffic-in-la/#gallery[default]/0/ 
Source: wikipedia
Smart City Data Analysis 
− Analysis of thousands of traffic, pollution, weather, congestion, 
public transport, waste and...
Designing for City Problems
101 Smart City Use-case Scenarios 
http://www.ict-citypulse.eu/page/content/smart-city-use-cases-and-requirements
Big (IoT) Data Analytics 
... 
Real World Data 
Smart City Framework 
Smart City Scenarios
Data Processing and Information Extraction 
Analysis of traffic data in City of Aarhus 
University of Surrey Smart Campus ...
In Conclusion 
− Combining data from Physical, Cyber and Social sources 
can give more complete, complementary data and 
c...
− Thank you. 
− EU FP7 CityPulse Project: 
http://www.ict-citypulse.eu/ 
@pbarnaghi 
p.barnaghi@surrey.ac.uk
Upcoming SlideShare
Loading in …5
×

Internet of Things and Data Analytics for Smart Cities

3,499 views

Published on

Invited talk, Internet of Things and Data Analytics for Smart Cities, 12th European Week of Regions and Cities, 6-9 October 2014, Brussels.

  • Be the first to comment

Internet of Things and Data Analytics for Smart Cities

  1. 1. Internet of Things and Data Analytics for Smart Cities 1 Payam Barnaghi Institute for Communication Systems (ICS) University of Surrey Guildford, United Kingdom
  2. 2. 2 CityPulse: Large-scale data analytics for smart cities
  3. 3. What type of problems we expect to solve in “smart” cities
  4. 4. Future cities: A view from 1998 Source LAT Times, http://documents.latimes.com/la-2013/ 4
  5. 5. 5 Source: http://robertluisrabello.com/denial/traffic-in-la/#gallery[default]/0/ Source: wikipedia
  6. 6. Smart City Data Analysis − Analysis of thousands of traffic, pollution, weather, congestion, public transport, waste and event sensory data to provide better transport and city management. − Converting smart meter readings to information that can help prediction and balance of power consumption in a city. − Monitoring elderly homes, personal and public healthcare applications. − Event and incident analysis and prediction using (near) real-time data collected by citizen and device sensors. − Turning social media data (e.g. Tweets) related to city issues into event and sentiment analysis. − Any many more… 6
  7. 7. Designing for City Problems
  8. 8. 101 Smart City Use-case Scenarios http://www.ict-citypulse.eu/page/content/smart-city-use-cases-and-requirements
  9. 9. Big (IoT) Data Analytics ... Real World Data Smart City Framework Smart City Scenarios
  10. 10. Data Processing and Information Extraction Analysis of traffic data in City of Aarhus University of Surrey Smart Campus data analysis Twitter data analysis for detecting city events
  11. 11. In Conclusion − Combining data from Physical, Cyber and Social sources can give more complete, complementary data and contributes to better analysis and insights. − Intelligent processing methods should be adaptable and able to handle dynamic, multi-modal, heterogeneous and noisy and incomplete data. − Smart cities are complex social systems and no technological and data- analytics-driven solution alone can solve the problems. 11
  12. 12. − Thank you. − EU FP7 CityPulse Project: http://www.ict-citypulse.eu/ @pbarnaghi p.barnaghi@surrey.ac.uk

×