Internet of Things and Data Analytics for Smart Cities
Internet of Things and Data Analytics
for Smart Cities
Institute for Communication Systems (ICS)
University of Surrey
Guildford, United Kingdom
CityPulse: Large-scale data analytics
for smart cities
What type of problems we expect to solve
Future cities: A view from 1998
Source LAT Times, http://documents.latimes.com/la-2013/ 4
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
− 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…
101 Smart City Use-case Scenarios
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 data analysis
Twitter data analysis for detecting city events
− 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.