1.
Customers:
Partners:
City Enabler for Digital Urban Services
29 November, 2017

2.
Page 2City Enabler for Digital Urban Services
CEDUS - The Project
• City Enabler for Digital Urban Services (CEDUS) is an EIT Digital Cities
Activity providing the “City Enabler” (CE), a FIWARE based software solution
aimed to organize scattered urban data coming from a number of public
and private city (data) providers and build new reusable map-based urban
services
• The solution is currently being tested in Province of Trento (IT),
Municipality of Málaga (ES) and Municipality of Rennes (FR)
• Negotiations are being held with other European cities. In 2018, the plan
is to reach Technology Readiness Level 9 and launch it into the market.
6/12/17

3.
Page 3City Enabler for Digital Urban Services6/12/17
• City Enabler detects data
providers in the city and
provides City Managers and
Companies with tools to
easily integrate the data and
exploit them in map-based
urban services

4.
Page 4City Enabler for Digital Urban Services
CE Main Functionalities
• City Data collection and Metadata
quality assessment: existing Open Data
platforms, Web services, devices (i.e.
sensors), legacy systems and IoT
Platforms. Support in the creation of the
“City knowledge”
• City Data Integration: Possibility to
graphically integrate data coming from
different data sources and wrap any kind
of data structure in FIWARE Data Models
• Fast creation of new map based Urban
Services and visualizations: Creation of
domain specific urban services relying on
the data collected
6/12/17

5.
Page 5City Enabler for Digital Urban Services
City Data Workspace
• Single point of browsing and access to the real-time data coming from
various sources
6/12/17
• Register data sources: Open
Data Platforms like CKAN and
SOCRATA, Web services, Legacy
systems, IoT platforms
• Access all the data through
standard APIs
• Browse the data collected and
perform multilanguage search
(eurovoc vocabulary integrated)
• Measure the quality of data
collected

6.
Page 6City Enabler for Digital Urban Services
IoT Device Manager
• Registers “push” and “pull” sensors, gathers data and stores them in the
City Data Workspace
6/12/17
• Devices registration and
monitoring
• Different kind of devices
supported (parking, pollution,
lights, etc.)
• Active and passive devices
supported
• Mapping between urban
services/scopes and sensors
supported

7.
Page 7City Enabler for Digital Urban Services
City Data Mashup Editor
• Graphically integrates and wraps data in the City Enabler
6/12/17
• Mapping of data structures
(e.g. device data, open data) in
standard NGSI v2 format
• Data coming from different
datasources can be graphically
mashed up in order to produce
linked data
• Linked data can be stored in
the City Data Workspace

8.
Page 8City Enabler for Digital Urban Services
CE Front End
• Creates and consumes urban services (e.g. Parking, Mobility, Air, quality
control, Waste management, Tourism, Safety, Facility Management) for
city managers and citizens
6/12/17
• Scopes (e.g. customers) and urban services (e.g.
verticals) management
• All the registered devices/sensors and data
collected in the City Data Workspace can be
monitored and visualized
• Real time data visualization
• Assisted statistics charts creation
• Easy replication of existing urban services from
one city to another (no city lock in)
• Exploitation of city data collected on map based
applications

9.
Page 9City Enabler for Digital Urban Services
Data Interpreter Tool
• Creates interactive visualizations and KPIs through the usage of data
collected in the City Data Workspace
6/12/17

10.
Page 10City Enabler for Digital Urban Services
Málaga Scenario
6/12/17
Málaga Municipality is one of the smartest Spanish
municipalities. Malaga publishes more than 720 data sets in
its Open Data Portal to make data available for citizens
and businesses and to provide greater transparency to a
better municipal management and planning of resources.
In addition to the Open Data Portal, Málaga has a FIWARE based
platform “Thinking Cities”, owned by the municipality and operated
by TID. It is a requirement of Málaga city administrators, that the CE
Front End consumes the data from the Context Broker of this platform.

11.
Page 11City Enabler for Digital Urban Services
City Enabler Deployment in Malaga
6/12/17

12.
Page 12City Enabler for Digital Urban Services
Parking Scenario in Malaga
6/12/17
Málaga Open
Data Portal
Málaga Smart City Platform
Data Mashup Editor
Frontend
URBO
City Data
Workspace
Parking occupancy
(FIWARE Standard)
Parking occupancy (CSV)
Parking Urban Service

13.
Page 13City Enabler for Digital Urban Services
Bike Hiring Scenario in Malaga
6/12/17
Málaga Open
Data Portal
Málaga Smart City Platform
FIWARE Integration
Frontend
URBO
City Data
Workspace
Bike Hiring
(FIWARE Standard)
Bike hiring (CSV)
Bike Hiring Service

14.
Page 14City Enabler for Digital Urban Services
Public Transport Fleet in Malaga
6/12/17
Málaga Open
Data Portal
Málaga Smart City Platform
FIWARE Integration
Frontend
URBO
City Data
Workspace
Public transport fleet
(FIWARE Standard)
Public transport fleet (CSV)
Public transport Urban Service

15.
Page 15City Enabler for Digital Urban Services
Environmental Scenario in Malaga
6/12/17
Regional
Government
Málaga Smart City Platform
FIWARE Integration
Frontend
URBO
Air Quality
Weather
(FIWARE Standard)
Air Quality(CSV)
Air Quality Urban Service
UrbanClouds
Air Quality
(FIWARE Standard)
Meteorological
Agency
Weather(CSV)

16.
Page 16City Enabler for Digital Urban Services
Tourism Scenario in Malaga
6/12/17
MiNube Private
Data Provider
Frontend
URBO
Tourism Urban Service

17.
Page 17City Enabler for Digital Urban Services
Pests Risks in Malaga
6/12/17
Frontend
URBO
Pests Risks Analytics Service
Meteorological
Agency
Málaga Open
Data Portal
Pests Control Reports (2013-
2017)
Weather measurements
(2013-2017)
Ad-hoc Analytics Process
Builder

18.
Page 18City Enabler for Digital Urban Services
Data Interpreter Tool in Malaga
6/12/17
Frontend
URBO
City Analytics Service
Meteorological
Agency
Málaga Open
Data Portal
Pests Control Reports (2013-
2017)
Weather measurements
(2013-2017)
Ad-hoc Analytics Process
Polen Levels (2016-2017)
City Data
Workspace
DIT Frontend Tools

19.
Page 19City Enabler for Digital Urban Services
Data Definition
6/12/17
Dataset Description Format & Data Model Origin
Meteorology
Meteorological
observations
NGSI + FIWARE Data
model + CSV
AEMET
Air Quality
Air quality
observations
NGSI + FIWARE Data
model
Urban Clouds +
Junta de
Andalucia
Bike Hire system
Availability of bikes
and slots
NGSI + FIWARE Data
model
FIWARE Zone
Tourism
Visits of tourists to POIs
with timestamp and
origin of the tourist
CSV Minube
Parking
Availability of parking
in the city
From CSV to NGSI +
FIWARE Standard
data model
Open Data
Portal
Neighbourhoods
Geometry of
neighbourhoods in
the city
Shapefile
Open Data
Portal

20.
Page 20City Enabler for Digital Urban Services
Data Definition
6/12/17
Dataset Description Format & Data Model Origin
Population
Geolocated
population census by
gender and age
DB Table
Carto Data
Observatory
Public transport
position
Positioning of public
transport in real time
NGSI Standard Data
model
EMT
Public transport
planning
Static information
about public transport
routing and time table
GTFS
Open Data
Portal
Pests
Pests treatment logs in
the city
CSV
Open Data
Portal
Pollen Pollen levels in the city CSV
Open Data
Portal

21.
Page 21City Enabler for Digital Urban Services
CE Main Benefits
6/12/17

22.
Page 22City Enabler for Digital Urban Services
CE Competitive Advantages
• City Enabler is fully compliant with OASC (Open & Agile Smart Cities)
principles:
1. Open to other platforms through standard APIs (Application
Program Interface)
2. Portable and replicable from one city to another, ensuring
independence for vendors and full access to the local digital
ecosystem
• Easy access & visualization of content
• Data collected, centrally organized and exploited
• No data duplication
• Single Collaborative Environment to exploit urban data
• Multi-domain approach
• Urban ecosystem engagement
6/12/17

23.
Page 23City Enabler for Digital Urban Services
Conclusions and Next Steps
• Nowadays City managers often are not aware about the power of data
already available in their cities
• The great amount of data at urban scale coming from different data
providers require tools for automatic detection of available data sources
• Stakeholders (citizens, companies, developers, etc.) have difficulties to
know how to exploit the data available and transform city knowledge
into valuable business insight
• Data with low quality are not useful
• 2018 plans:
• Improved Do It Yourself capabilities
• Include a module for automatic detection of data sources, searching
from the web
6/12/17

24.
Thanks for
your
attention!!
Customers:
Partners:
City Enabler for Digital Urban Services