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NTNU Delegation Smart Cities - Visit to DTU

Presentation of research fields in the context of smart cities of NTNU Computer Science (IDI). Part of the delegation to the smart cities group at DTU.

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Rector’s Visit DTU – NTNU
Delegation Smart Cities
Dirk Ahlers
NTNU
IDI (Institutt for datateknikk og informasjonsvitenskap)
2
Research on Smart Cities and related areas
at NTNU–IDI
• Contribution to NTNU SmartCities
https://www.ntnu.edu/smartcities
• IME Lighthouse on Open Autonomous Digital
Ecosystems - http://www.ntnu.edu/ime/oade (Computer
Science, Electrical Engineering, Telematics), also
SmartGrids
• IME Lighthouse on Big Data
http://www.ntnu.edu/ime/bigdata
• HCI research in behaviour and Smart Meters
• Mobility
3
Open and Autonomous Digital Ecosystems
(OADE)
4
Campus Guide, MazeMap
• Campus as a Living Lab
• Member of ENoLL – European Network of Living Labs
• Cisco WLAN-positioning on Campus and in the city
5
Infrastructure Setup
• Mobility data with high spatial and temporal
resolution
• WLAN indoor coverage on campus
• Passive location sensing, WLAN trilateration
• Device positions as proxy for people’s locations
• Sampling bias and double counting addressed
in future work for improved accuracy
• Data contains anonymized ID, timestamp,
coordinates, accuracy, derived hierarchy
– e.g. Gloshaugen > IT-Vest > 1. etasje, Gloshaugen
> Sentralbygg II > 13. etasje
6
Stacked movement abstraction
• Position Gathering
• Abstraction and processing layers
– Data cleaning/preprocessing
– Movement Extraction
– Building-graph extraction
• Visualization

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NTNU Delegation Smart Cities - Visit to DTU

  • 1. Rector’s Visit DTU – NTNU Delegation Smart Cities Dirk Ahlers NTNU IDI (Institutt for datateknikk og informasjonsvitenskap)
  • 2. 2 Research on Smart Cities and related areas at NTNU–IDI • Contribution to NTNU SmartCities https://www.ntnu.edu/smartcities • IME Lighthouse on Open Autonomous Digital Ecosystems - http://www.ntnu.edu/ime/oade (Computer Science, Electrical Engineering, Telematics), also SmartGrids • IME Lighthouse on Big Data http://www.ntnu.edu/ime/bigdata • HCI research in behaviour and Smart Meters • Mobility
  • 3. 3 Open and Autonomous Digital Ecosystems (OADE)
  • 4. 4 Campus Guide, MazeMap • Campus as a Living Lab • Member of ENoLL – European Network of Living Labs • Cisco WLAN-positioning on Campus and in the city
  • 5. 5 Infrastructure Setup • Mobility data with high spatial and temporal resolution • WLAN indoor coverage on campus • Passive location sensing, WLAN trilateration • Device positions as proxy for people’s locations • Sampling bias and double counting addressed in future work for improved accuracy • Data contains anonymized ID, timestamp, coordinates, accuracy, derived hierarchy – e.g. Gloshaugen > IT-Vest > 1. etasje, Gloshaugen > Sentralbygg II > 13. etasje
  • 6. 6 Stacked movement abstraction • Position Gathering • Abstraction and processing layers – Data cleaning/preprocessing – Movement Extraction – Building-graph extraction • Visualization
  • 8. 8 Mobility vs Search [Navigating MazeMap: indoor human mobility, spatio- logical ties and future potential, IEEE, 2014]
  • 9. 9 Future work: Outdoor city mobility [Thomas Jelle, Big Data and Smart Cities]
  • 10. 10 Conclusion • Awareness and planning support of building use • Real-time availability of rooms and facilities • Connection to larger mobility • Sustainable campus and city • Scaling out
  • 11. Contact search://Dirk Ahlers geo: 63°25‘10“N 10°24‘9“E @dirkahlers dirk.ahlers@idi.ntnu.no