AirPublic, TrafficFlow

1. OrganiCity
Experimenters
#organicity @AirPublica
Air Quality & Urban Mobility

3. The challenge

4. ?
Solutions

5. Our Monitoring Solution
Challenge
● 120 static monitors in
London
● Modelled data in
between
● Static monitors cost
£10-20k just to install

6. Our Monitoring Solution

7. Potential
● Front end
● International
opportunities
● Integration into
smart city
infrastructure
● Co-creation

8. Aims
● Refine the existing prototype to integrate with electric
delivery vans
● Integrate with the OrganiCity platform and test the
facility
● Validate assumptions in our proposed system;
○ Using multiple lower quality sensors to produce accurate, granular
air quality data
○ Host on moving agents to produce a good spread of data points
● Engage citizen stakeholders to co-create throughout
experiment

9. Hardware

10. Hardware
Microcontroller
Sensors:
CO
NO2
PM(1-10μm)
Temperature
Humidity GPS
GSM
Fuse + Voltage
regulator etc
Pump
Air intake
Power
(12v dc)
Antenna
Antenna

12. Asset JSON structure

13. Asset = Device or data point?
We have 10 devices which move
We have >90k data points with valid GPS
Organicity currently only allows 1k assets per experiment
Asset as device => Only see 10 data points
Asset as data point => Limitations reached

14. Asset Upload API
OAuth2
SSL
client-credentials grant
too much for our 2nd proto!
Limited by RAM, power
consumption,data usage, and
reliability
POST / HTTP/1.1
Host: localhost:9020
Accept-Encoding: identity
Content-Length: 1684
X-Organicity-Application: 5873c3593be86fb04094b011
X-Organicity-Experiment: 584b58ed3be86fb040932f4e
Content-Type: application/json
Accept: application/json
Authorization: Bearer
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{"id":
"urn:oc:entity:experimenters:caddafc8-ba16-4e32-bcc8-d631ae0bcd96:584b58ed3be86fb040932f4e:1
4d49329f70e52e", "type": "urn:oc:entityType:London:airQuality:airpublic:testing:reading", "T
{"type": "urn:oc:attributeType:ISO8601", "value": "2017-02-21T10:02:23.000Z"}, "altitude": {
"urn:oc:attributeType:position:altitude", "value": -0.1}, "location": {"type": "geo:point",
"51.507881, -0.123278"}, "latitude": {"type": "urn:oc:attributeType:position:latitude", "val
"longitude": {"type": "urn:oc:attributeType:position:longitude", "value": -0.123278}, "humid
"urn:oc:attributeType:relativeHumidity", "value": 46.0}, "temp": {"type":
"urn:oc:attributeType:temperature:ambient", "value": 17.7}, "co_a": {"type":
"urn:oc:attributeType:chemicalAgentAtmosphericConcentration:CO", "value": 261.9}, "co_w": {"
"urn:oc:attributeType:chemicalAgentAtmosphericConcentration:CO", "value": 228.9}, "no2_a": {
"urn:oc:attributeType:chemicalAgentAtmosphericConcentration:NO2", "value": 316.7}, "no2_w":
"urn:oc:attributeType:chemicalAgentAtmosphericConcentration:NO2", "value": 2403.1}, "m_co":
"urn:oc:attributeType:chemicalAgentAtmosphericConcentration:CO", "value": 1390.10999}, "m_no
"urn:oc:attributeType:chemicalAgentAtmosphericConcentration:NO2", "value": 326.37366}, "w_pm

15. Pipeline
AirPublic
database
Data science team
Organicity
OrganicityEngineering
dashboard
Maps
Air quality
measurements

17. Sensinact
IFTTT for IoT
Use cases
- Bridge to OC
- Apply dynamic
calibration
params
- Trigger alerts

18. Sensinact
AirPublic-Nact

19. Sensinact studio

20. Data Density

21. Comparing our results to London
Annual map
We compiled places where we got 20 readings or
more, averaged readings and compared them to
the London Annual mean map.
Figure on the right is NO2 levels from a single
van, spots represent 20x20m squares.
Green is good, yellow is high and red is bad. One
can see that we highlight most of the road
intersections as yellow, with some red.
Disclaimer: not calibrated data yet.

22. Quality assurance of the devices
Unfortunately the hardware has turned out to be quite delicate with devices
frequently going out of order. We monitored them over 48 hours to find which one
work and which ones don’t. Only four out of 10 boxes have turned out to be
perfect, the rest needed further work.

23. Torching temp and humidity

24. All 10 sensors register high NO2 levels
during calibration torching

25. Co-creation
Citizen Co-creators

26. Conclusions
● For novel data sets and systems integration is key;
● Co-creation is an essential process for citizen centric
experimentation.
● Device development in parallel with platform development
presented challenges and opportunities
● Stepped development is crucial for innovative hardware
development
● Concepts of calibration between sensors and data density
proven

27. TrafficFlow - Analytics for smarter cities
Fabrizio Dini - fabrizio.dini@magentalab.it
http://trafficflow.magentalab.it

28. Traffic data are key for truly smart cities
Planning:
● Viability design
● Introduction of 30 Km/h speed limit
● Pollution level control
Operation:
● Measure behavior changes
● Adaptive traffic light timing
Public information:
● Periodic traffic report (web, radio, tv)
● Early alert

29. TrafficFlow
Result of several EU co-funded projects in 2012-2016
(ORUSSI, CHEST, SOUL-FI/Floud, SME Instrument)
Low cost traffic-monitoring sensor for participative data
collection campaigns
● Requires little to no infrastructure
● Easy to install and configure
● Suitable for long-term and short-term, as well as
temporary campaigns
● Easy to learn, difficult to master

30. TrafficFlow in Italy
Since 2015:
~ 30 installations
5 cities
(Firenze, Prato,
Empoli, Livorno,
Castelfiorentino)
~ 94M passages!

31. TrafficFlow in London
● Hoxton Square (Unit9)
1k-2k veh/day
1.5k-3.5k ped/day
● Bethnal Green Road
(NewSpeak House)
10k-12k veh/day (2x)
● Worship Street
(OpenData Institute)
2k-3k veh/day (2x)
500-3k ped/day

32. A different flow pattern: London...

33. ...vs Florence

34. Pedestrians vs vehicles

35. OrganiCity
Great opportunity for us to spread outside the
Italian border
Demonstration of ease of integration between
TrafficFlow and other platforms
Perfect completion for a participative approach at
traffic-monitoring
Potentially enabler of new services for the “smart
city”

36. Contacts
Get in touch with us:
● http://www.magentalab.it
● http://trafficflow.magentalab.it
Download the dataset (January 11th to March 23rd):
● http://trafficflow.magentalab.it/activities/30_organicity_dataset/

37. Software
- Integrating with OC platform
- UDO (challenges and use cases)
- SensiNact (challenges and use cases)
- Experimenter Portal (usability?)
- Data so far (steps to getting mobile, protocols, challenges, results; data density,
uncovering differences to KCL data)
- Future aspirations (integrating into smart city infrastructure, wider trials, lowering
unit cost)

38. Sensinact
IFTTT for IoT
Use cases
- Bridge to OC
- Apply dynamic calibration params
- Trigger alerts
We wrote a module for Sensinact (Java + OSGI)
Would like to credit Christophe Munilla for his help

39. Sensinact Gateway
- SNA Gateway is a server
- Hosts and executes SNA applications
- Stores data

40. Sensinact studio
- Eclipse based IDE
- Write and deploy SNA applications
- List IoT devices connected to gateway
- View live data from IoT devices

41. Sensinact limitations