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C4Rs - Crowd Sensing, Gamification and Our roads

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H2020 C4Rs.eu project presentation at the Transport Research seminar we organised as part of the project's dissemination and also to bring colleagues and the city council together.

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C4Rs - Crowd Sensing, Gamification and Our roads

  1. 1. #SmartRoadSense Sylvester Arnab Saverio Delpriori Mark Lewis Luca Morini @C4Rs
  2. 2. FACT SHEET • H2020 ICT-10-2015:Collective Awareness Platforms for Sustainability and Social Innovation • Coordinator: University of Urbino • 7 partners • 4 countries (IT, UK, FR, RO) • Budget: EUR 1,543,866.76 • Duration: 36 months • Start date: 01-01-2016 http://c4rs.eu/
  3. 3. MOTIVATIONS.1 ROAD NETWORK Largest single publicly-owned asset Main factor of socio-economic development The upper layer alone has a value of about 1 TRILLION Euros per EU country TIMELY MAINTENANCE is essential to Guarantee driving safety and comfort Preserve value Reduce vehicle operating costs Reduce CO2 emissions Any Euro not invested in road maintenance causes 2 Euros of extra operating costs
  4. 4. MOTIVATIONS.2 CO2 EMISSIONS 73.7% of intra-EU passenger transportROAD PASSENGER TRANSPORT IN EU MAINLY PRIVATE CARS CAR OCCUPANCY RATE About 12% Well below 2 people/car About 1.1 people/car in commuting
  5. 5. PROJECT IDEA To engage people in monitoring road surface conditions by exploiting the accelerometers on board of their smartphones CROWD SENSING Exploit the sharing economy and the smart specialization to harness collective intelligence to contribute to the sustainability of the road network http://smartroadsense.it/
  6. 6. KEY ELEMENTS CLOUD CLOUD COMPUTING SHARING ECONOMY BIG DATA CROWD SENSING EXISTING INFRASTRUCTURES COLLECTING INTELLIGENCE GAMIFICATION SMART COMMUNITIES
  7. 7. BIG PICTURE Community Policy makers Public administrators Stakeholders Environment Road network Safety Comfort Development Health Lifestyle Quality
  8. 8. SmartRoadSense a crowdsensing system
  9. 9. Let’s start with a demo
  10. 10. The Data Flow ?
  11. 11. Roughness Evaluation (PPE)
  12. 12. Map Matching
  13. 13. Map Matching
  14. 14. Map Matching
  15. 15. Map Matching
  16. 16. Data Aggregation
  17. 17. Data Aggregation
  18. 18. Open Data
  19. 19. Engaging More Users

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