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Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
Crowdsourcing Data For Public Transport Information
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Crowdsourcing Data For Public Transport Information

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  • 1. crowdsourcing data for public transport information arun ganesh, srikanth lakshmanan
  • 2. what are my travel options? -walk -cycle -vehicle/auto -bus/public transit
  • 3. what are my safe travel options? -walk -cycle -vehicle/auto -bus/public transit
  • 4. can i travel by bus? -is there a bus to my destination? -where is the bus stop? -when will my bus come? -how long will my trip take? -how comfortable will it be? -how much will i save? -what are my alternatives?
  • 5. who has that information? -conductors -commuters -bus stations -bus authorities
  • 6. how to collect all that data?
  • 7. how to collect all that data? crowdsource
  • 8. we made busroutes.in
  • 9. what we found -crowdsourcing makes data collection faster -errors in of cial data source -gaps in public transport coverage -patterns in bus route numbers -key transit locations -site analysis data
  • 10. how openstreetmap helped - exible database -crowdsourcing for map data -lets anyone add features -makes the map dynamic -map data entirely opensource www.osm.org
  • 11. what else we can crowdsource -translate entire dataset into local language -location of each bus stop -addition of other transport links and ways -clean and x of cial data -expand database to make it more rich
  • 12. what else has been done
  • 13. chennai suburban rail and bus map google: chennai suburban map
  • 14. chennai public transport map
  • 15. bus stop information panel
  • 16. and bangalore?
  • 17. Do visit http://busroutes.in http://j.mp/ArunGanesh Student, National Institute of Design Bangalore Srikanth L srik.lak@gmail.com Yet another software engineer

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