The	
  Future	
  Ci+es	
  Crowdsensor	
  
João	
  Rodrigues,	
  Vítor	
  Ribeiro,	
  Ana	
  Aguiar,	
  João	
  Barros	
  
...
What	
  is	
  a	
  crowdsensor?	
  
•  Leveraging	
  the	
  power	
  of	
  the	
  crowd	
  
•  Use	
  people	
  as	
  movi...
CrowdSensor	
  
•  Modular	
  and	
  stable	
  mobile	
  sensing	
  plaIorm	
  
–  ApplicaKon	
  for	
  Android	
  OS	
  
...
InformaKon!	
  
• 
• 
• 
• 

30	
  day	
  data	
  collecKon	
  campaign	
  
10	
  users	
  
≈	
  40h	
  of	
  data	
  
≈	
...
Average	
  Speed	
  
Aggregate	
  Fuel	
  ConsumpKon	
  
Important	
  Places	
  
#	
  WiFi	
  APs	
  
What	
  to	
  do	
  with	
  the	
  data?	
  
•  Available	
  algorithms	
  	
  	
  
–  Fuel	
  consumpKon	
  esKmaKon	
  
...
•  What	
  do	
  users	
  want?	
  	
  
–  Mobility	
  decision	
  support	
  
•  Mobility	
  self-­‐assessment	
  
•  Tra...
futureciKes.up.pt/livinglab	
  
•  Join	
  as	
  parKcipant	
  	
  
•  Contact	
  us	
  for	
  designing	
  new	
  experie...
2014 Future Cities Conference / Ana Aguiar "The Future Cities Crowdsensor"
Upcoming SlideShare
Loading in …5
×

2014 Future Cities Conference / Ana Aguiar "The Future Cities Crowdsensor"

820 views

Published on

Published in: Technology, Business

2014 Future Cities Conference / Ana Aguiar "The Future Cities Crowdsensor"

  1. 1. The  Future  Ci+es  Crowdsensor   João  Rodrigues,  Vítor  Ribeiro,  Ana  Aguiar,  João  Barros   FEUP,  IT  
  2. 2. What  is  a  crowdsensor?   •  Leveraging  the  power  of  the  crowd   •  Use  people  as  moving  sensors  to  gather  data     •  Smartphones  are  a  ubiquitous  plaIorm  with   many  connecKvity  possibiliKes   –  22%  of  the  world  populaKon  by  the  end  of  2013   •  Business  Insider  Intelligence,  Dec  2013   –  39.6%  of  mobile  phone  users  in  Portugal   •  Marktest,  Aug  2013   –  50%  of  the  15-­‐24  age  group   •  Marktest,  Aug  2013     –  These  figures  are  growing  
  3. 3. CrowdSensor   •  Modular  and  stable  mobile  sensing  plaIorm   –  ApplicaKon  for  Android  OS   –  Cloud  storage   –  VisualisaKon  plaIorm  
  4. 4. InformaKon!   •  •  •  •  30  day  data  collecKon  campaign   10  users   ≈  40h  of  data   ≈  142k  GPS-­‐indexed  points  
  5. 5. Average  Speed  
  6. 6. Aggregate  Fuel  ConsumpKon  
  7. 7. Important  Places  
  8. 8. #  WiFi  APs  
  9. 9. What  to  do  with  the  data?   •  Available  algorithms       –  Fuel  consumpKon  esKmaKon   –  Mobility  pabern  and  route  similarity   •  E.g.  car  pooling  or  modal  change  suggesKons     –  WiFi  coverage  maps   •  E.g.  use  for    conKnuous  coverage  with  WiFi  roaming   –  …  
  10. 10. •  What  do  users  want?     –  Mobility  decision  support   •  Mobility  self-­‐assessment   •  Traffic  alerts,  alternaKve  route  suggesKons,  parking   spots,  mobility  costs   –  Access  to  informaKon  about  the  city   •  PolluKon,  noise,  traffic,  comfort   –  CiKzen  parKcipaKon  support  
  11. 11. futureciKes.up.pt/livinglab   •  Join  as  parKcipant     •  Contact  us  for  designing  new  experiences  

×