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Spitsgids presentation at the ITS Belgium congress
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Pieter Colpaert
October 06, 2016
Technology
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Spitsgids presentation at the ITS Belgium congress
Pieter Colpaert
October 06, 2016
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Transcript
None
Who came by train today?
Whose train was really busy?
+28% Source: NMBS (2016)
Source: Leefmilieu Brussel (2013)
Source: Rail4Brussels (2016) NUMBER OF PASSENGERS OVER TIME OF DAY
Weekday Saturday Sunday Morning peak (6-9h) Evening peak (15-19h)
How can we try to avoid busy trains? Incentivize people
to take another train
Source: iRail data
Spitsgids We predict how busy your train will be, so
you can leave earlier or later
Meet our 3 indicators
Passenger experience User feedback structurally busy trains
None
None
And now it’s our turn to publish Open Data Both
real-time feedback as our predictions
User feedback Next step: challenging researchers to creating better predictions
iRail query logs User feedback Next step: challenging researchers to
creating better predictions
User feedback weather Next step: challenging researchers to creating better
predictions iRail query logs
User feedback weather Next step: challenging researchers to creating better
predictions iRail query logs events
User feedback weather Next step: challenging researchers to creating better
predictions iRail query logs events open datasets
The budget so far was crowd-funded And financially supported by
It was developed by our open Summer of code students
Arne, Stan and Serkan
Thank you to our app builders Jan Cornelissen (Railer App
- iPhone) Christophe Versieux (BeTrains - Android) and the iRail contributors
Let’s build a world where knowledge creates power for the
many, not the few. @pietercolpaert https://hello.irail.be http://pieter.pm