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

• Units with heterogene...
Goals
UrbanSense platform aims to improve the understanding and awareness
of environmental and behaviour phenomena
• Impac...
Sensors
UrbanSense includes 600 sensor units. Hererogeneous sets of sensors.
Meteorological
• Temperature
Relative Humidit...
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...
Deployment plan
2013
500 vehicles – Installed
• Buses – STCP
• Trucks – Leixões harbour

Video Cameras
• Pattern recogniti...
Perceiving people and vehicles
anonymously
Contours computed with RPi
Local Processing
=
Anonymity
&
Light Communication

...
Perceiving people and vehicles
anonymously
Sensing unit prototype
What can be done?
• Counting people / vehicles
• Classif...
Buses as City Scanners
Frequency map
Buses have city-wide coverage
• Scanning the city using sensors
• Detecting and predi...
Buses as City Scanners
Time map
Buses have city-wide coverage
• Scanning the city using sensors
• Detecting and predicting...
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"

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

  1. 1. UrbanSense Platform
  2. 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. 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. 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. 5. Sensors Location Mobile sensor units located in buses: inside bus or at the roof. Static units located in traffic lights.
  6. 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. 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. 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. 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. 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. 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. 12. PORTO – Living Lab for Future Cities www.futurecities.up .pt

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