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UrbanSense Platform
Characteristics
Sensor network – fixed and mobile
• 600 units
• 550 Mobile units
• 50 fixed units

• Units with heterogeneous set of sensors
• 600 environmental sensors
• 60 Video cameras
• 500 GPS, accelerometers, and On Board Devices

• Wireless communications
• Real-time transmission
• Opportunistic communications for delay tolerant data

• Local processing capacity
• Count people and vehicles locally
• Adaptive sampling rate
Goals
UrbanSense platform aims to improve the understanding and awareness
of environmental and behaviour phenomena
• Impact for the city

• Research platform

• Identify critical urban areas

• Open data

• Detect events in real time and automatically

• Wireless networks testbed

• Evaluate the impact of urban interventions

• Data analysis and pattern recognition
• Urban planning
Sensors
UrbanSense includes 600 sensor units. Hererogeneous sets of sensors.
Meteorological
• Temperature
Relative Humidity
•

75 sensors (mobile and fixed)

•

10 sensors (fixed)

•

•

75 sensors (mobile and fixed)

• Solar Radiation
•

10 sensors (fixed)

50 sensors (mobile and fixed)

• Azote Dioxide
75 sensors (mobile and fixed)

•
•

•

•

50 sensors (mobile and fixed)

• Carbon Dioxide
•

•

• GPS and Accelerometer
•

50 sensors (mobile and fixed)

500 sensors (mobile)

• OBD – On Board Device

50 sensors (mobile and fixed)

• Carbon Monoxide

25 sensors (fixed)

Mobility

75 sensors (mobile and fixed)

• Particles PM10

High precision
1 sensor (fixed)

• Embebed

• Ozone (O3)

•

• Luminosity

• Stand alone

• VOC

•

• Pluviometer,
Wind Vane
Anemometer

Noise

Air Pollution

Video
• Cameras
•

60 sensors (mobile and fixed)
Sensors Location
Mobile sensor units located in buses: inside bus or at the roof.
Static units located in traffic lights.
Wireless Communications
Wi-fi Sensor network for interoperability with existing hotspots.
• Mobile units
• Vehicular Adhoc Network

• Static units
• Wi-fi hotspots
• Opportunistic communications – data mules
Deployment plan
2013
500 vehicles – Installed
• Buses – STCP
• Trucks – Leixões harbour

Video Cameras
• Pattern recognition software development
• Acquisition process completed

Environmental sensors
• Requirements gathering
• Public consultation for hardware acquisition

1st quarter 2014
Environmental sensors
• Hardware and software development
• Installation on buses and fixed locations

Video Cameras
• Pattern recognition software development
• installation
Perceiving people and vehicles
anonymously
Contours computed with RPi
Local Processing
=
Anonymity
&
Light Communication

At time 15:01
8 leaved
10 entered
•
•
•
•

No video streaming
No video storage
Images described by statistics (descriptors)
Low bandwidth requirements
Perceiving people and vehicles
anonymously
Sensing unit prototype
What can be done?
• Counting people / vehicles
• Classifying vehicles
• Detecting patterns (e.g. crowding)

Where?
• Streets
• Buildings
• Public transports
Buses as City Scanners
Frequency map
Buses have city-wide coverage
• Scanning the city using sensors
• Detecting and predicting traffic jams
• Characterizing mobility

B

A
#vehicles / day
>= 47
40 to 46
34 to 39
27 to 33
21 to 26
14 to 20
8 to 13
1 to 7

(Sample: 108 buses, Wed 27/Nov/2013)
Buses as City Scanners
Time map
Buses have city-wide coverage
• Scanning the city using sensors
• Detecting and predicting traffic jams
• Characterizing mobility

#vehicles x hours
>= 3.5
3.0 to 3.4
2.5 to 2.9
2.0 to 2.4
1.5 to 1.9
1.0 to 1.4
0.5 to 0.9
0.0 to 0.4

(Sample: 108 buses, Wed 27/Nov/2013)
PORTO – Living Lab for Future Cities

www.futurecities.up
.pt

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Workshop on Large-scale Sensing For Future Cities'13 / Tânia Calçada/Daniel Moura: "UrbanSense Platform"

  • 2. Characteristics Sensor network – fixed and mobile • 600 units • 550 Mobile units • 50 fixed units • Units with heterogeneous set of sensors • 600 environmental sensors • 60 Video cameras • 500 GPS, accelerometers, and On Board Devices • Wireless communications • Real-time transmission • Opportunistic communications for delay tolerant data • Local processing capacity • Count people and vehicles locally • Adaptive sampling rate
  • 3. Goals UrbanSense platform aims to improve the understanding and awareness of environmental and behaviour phenomena • Impact for the city • Research platform • Identify critical urban areas • Open data • Detect events in real time and automatically • Wireless networks testbed • Evaluate the impact of urban interventions • Data analysis and pattern recognition • Urban planning
  • 4. Sensors UrbanSense includes 600 sensor units. Hererogeneous sets of sensors. Meteorological • Temperature Relative Humidity • 75 sensors (mobile and fixed) • 10 sensors (fixed) • • 75 sensors (mobile and fixed) • Solar Radiation • 10 sensors (fixed) 50 sensors (mobile and fixed) • Azote Dioxide 75 sensors (mobile and fixed) • • • • 50 sensors (mobile and fixed) • Carbon Dioxide • • • GPS and Accelerometer • 50 sensors (mobile and fixed) 500 sensors (mobile) • OBD – On Board Device 50 sensors (mobile and fixed) • Carbon Monoxide 25 sensors (fixed) Mobility 75 sensors (mobile and fixed) • Particles PM10 High precision 1 sensor (fixed) • Embebed • Ozone (O3) • • Luminosity • Stand alone • VOC • • Pluviometer, Wind Vane Anemometer Noise Air Pollution Video • Cameras • 60 sensors (mobile and fixed)
  • 5. Sensors Location Mobile sensor units located in buses: inside bus or at the roof. Static units located in traffic lights.
  • 6. Wireless Communications Wi-fi Sensor network for interoperability with existing hotspots. • Mobile units • Vehicular Adhoc Network • Static units • Wi-fi hotspots • Opportunistic communications – data mules
  • 7. Deployment plan 2013 500 vehicles – Installed • Buses – STCP • Trucks – Leixões harbour Video Cameras • Pattern recognition software development • Acquisition process completed Environmental sensors • Requirements gathering • Public consultation for hardware acquisition 1st quarter 2014 Environmental sensors • Hardware and software development • Installation on buses and fixed locations Video Cameras • Pattern recognition software development • installation
  • 8. Perceiving people and vehicles anonymously Contours computed with RPi Local Processing = Anonymity & Light Communication At time 15:01 8 leaved 10 entered • • • • No video streaming No video storage Images described by statistics (descriptors) Low bandwidth requirements
  • 9. Perceiving people and vehicles anonymously Sensing unit prototype What can be done? • Counting people / vehicles • Classifying vehicles • Detecting patterns (e.g. crowding) Where? • Streets • Buildings • Public transports
  • 10. Buses as City Scanners Frequency map Buses have city-wide coverage • Scanning the city using sensors • Detecting and predicting traffic jams • Characterizing mobility B A #vehicles / day >= 47 40 to 46 34 to 39 27 to 33 21 to 26 14 to 20 8 to 13 1 to 7 (Sample: 108 buses, Wed 27/Nov/2013)
  • 11. Buses as City Scanners Time map Buses have city-wide coverage • Scanning the city using sensors • Detecting and predicting traffic jams • Characterizing mobility #vehicles x hours >= 3.5 3.0 to 3.4 2.5 to 2.9 2.0 to 2.4 1.5 to 1.9 1.0 to 1.4 0.5 to 0.9 0.0 to 0.4 (Sample: 108 buses, Wed 27/Nov/2013)
  • 12. PORTO – Living Lab for Future Cities www.futurecities.up .pt