Work presented in The Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), July 2-nd to July 4-th, 2014, Birmingham City University. Mobile mapping and data hub platform to visualize, monitor, and assist urban maintenance planning that enables better interaction between citizens of Smart Cities.

1. Universidad Politécnica de Madrid
A Mobile Crowdsourcing Platform for Urban
Infrastructure Maintenance
José Pablo Gómez Barrón S., Miguel A. Manso Callejo, Ramón Alcarria Garrido, Rufino Pérez Gómez
July 2nd - July 4th, 2014
Birmingham City University
Birmingham, UK

2. Universidad Politécnica de Madrid
Roadmap
• Concept of crowdsourcing
• Scenario
• Platform design
• Mobile data hub platform
implementation
• Architecture
• Data modeling
• Data flow
• Conclusions

3. Universidad Politécnica de Madrid
Concept
• The term “crowdsourcing” introduced by
Howe is a modern model for problem
solving, and in different topics related to
geo-information management, is an
efficient tool for data acquisition and
analysis
• Crowdsourcing models are based on the
use of perceptual and cognitive abilities of
a large group of individuals to obtain faster
and efficient solutions

4. Universidad Politécnica de Madrid
Crowdsourcing
Chrysaida-Aliki Papadopoulou * and Maria Giaoutzi
http://www.mdpi.com/1999-5903/6/1/109

5. Universidad Politécnica de Madrid
Scenario:
• Increasing number of citizens connected to
Internet via wireless devices like smartphones,
interested to discuss, identify and report local
problems.
• Access of mobile sensors, facilitates data
collection, communication between systems.
• Use of open-source platforms and technologies
for reporting common street problems.
• Exchange of information between citizens and
urban infrastructure smart objects, monitor via
crowdsourcing approach.

6. Universidad Politécnica de Madrid
Platform Design:
Platform modules

7. Universidad Politécnica de Madrid
_Architecture
Application layering
Platform Implementation:

8. Universidad Politécnica de Madrid
_Data modeling
Platform Implementation:
UML diagram for “Urban SmartObjects”

9. Universidad Politécnica de Madrid
_Data flow
Platform Implementation:

10. Universidad Politécnica de Madrid
Conclusions:
• Crowdsourcing is useful for creating data
about the physical world, through the use of
smartphones and on-board sensors (GPS,
NFC) and capabilities (Internet, audio,
video, etc.)
• Permits to acquire and share local
knowledge from people, improves and
facilitates collaboration in a citizen urban
observatory platform.
• Shows the use of readable NFC tags to
access a web mobile platform to process
data from urban static objects and report
problems to local government.

11. Universidad Politécnica de Madrid
Conclusions:
• Shows how to integrate geo-located general
reports, events and social media feeds, enabling
greater connectivity and communication among
citizens and authorities.
• Data as input layers to GIS analysis:
• Report tracking on the map and over time, by
using database historic reports.
• Logistic planning in civil engineering
departments.
• Statistics per geographic area units, graphs
visualization and tweet classification clustering
for data mining.

12. Universidad Politécnica de Madrid
José Pablo Gómez Barrón Sierra
E: jp.gomez@alumnos.upm.es, jpablo.gomezb@gmail.com
t : @jpablogomezb
T: +34 651024537

13. Universidad Politécnica de Madrid
Platform implementation:
Forms used to manage “Urban SmartObjects”
Back to Data flow

14. Universidad Politécnica de Madrid
Platform implementation:
Forms used to manage “Urban SmartObjects”
Back to Data flow

15. Universidad Politécnica de Madrid
Mobile data hub platform
implementation:
“Home” section
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16. Universidad Politécnica de Madrid
Mobile data hub platform
implementation:
“Talk” section
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17. Universidad Politécnica de Madrid
Mobile data hub platform
implementation:
“Map” section
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18. Universidad Politécnica de Madrid
Mobile data hub platform
implementation:
New reports
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19. Universidad Politécnica de Madrid
Mobile data hub platform
implementation:
Link to “Urban SmartObjects” function
Back to Data flow

20. Universidad Politécnica de Madrid Back to Data flow