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2014 Future Cities Conference / Tânia Calçada & Daniel Moura "UrbanSense Platform"
2014 Future Cities Conference / Tânia Calçada & Daniel Moura "UrbanSense Platform"
2014 Future Cities Conference / Tânia Calçada & Daniel Moura "UrbanSense Platform"
2014 Future Cities Conference / Tânia Calçada & Daniel Moura "UrbanSense Platform"
2014 Future Cities Conference / Tânia Calçada & Daniel Moura "UrbanSense Platform"
2014 Future Cities Conference / Tânia Calçada & Daniel Moura "UrbanSense Platform"
2014 Future Cities Conference / Tânia Calçada & Daniel Moura "UrbanSense Platform"
2014 Future Cities Conference / Tânia Calçada & Daniel Moura "UrbanSense Platform"
2014 Future Cities Conference / Tânia Calçada & Daniel Moura "UrbanSense Platform"
2014 Future Cities Conference / Tânia Calçada & Daniel Moura "UrbanSense Platform"
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2014 Future Cities Conference / Tânia Calçada & Daniel Moura "UrbanSense Platform"

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  • 1. UrbanSense Platform Tânia Calçada, Daniel Moura
  • 2. UrbanSense Goals Understand and get aware 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 intervention actions • Data analysis and pattern recognition • Urban planning
  • 3. Characteristics Sensor network – static and mobile • Hundreds of units • Wireless communications • 400 Mobile units in buses • Real-time transmission • Static units located down town • Opportunistic communications for delay tolerant data • Units with heterogeneous set of sensors • Local processing capacity • 550 environmental sensors • Count people and vehicles locally • 60 Video cameras • Adaptive sampling rate • 500 GPS, accelerometers, and On Board Devices
  • 4. Sensors UrbanSense includes 600 sensor units. Hererogeneous sets of sensors. Meteorological • Temperature Relative Humidity • • Stand alone • VOC • 50 sensors (mobile and fixed) 75 sensors (mobile and fixed) • Azote Dioxide • • Pluviometer, Wind Vane Anemometer • 10 sensors (fixed) • 75 sensors (mobile and fixed) • Solar Radiation • 10 sensors (fixed) 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 Noise Air Pollution Video • Cameras • 60 sensors (mobile and fixed)
  • 5. Sensors Location Mobile units at buses roof Static units at Porto downtown
  • 6. 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
  • 7. Perceiving people and vehicles anonymously Sensing unit protype What can be done? • Counting people / vehicles • Classifying vehicles • Detecting patterns (e.g. crowding) Where? • Streets • Buildings • Public transports
  • 8. 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)
  • 9. Citizens as City Scanners Time map
  • 10. PORTO – Living Lab for Future Cities www.futurecities.up.pt

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