Spitsgids presentation at the ITS Belgium congress

Transcript

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   None
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   Who came by train today?

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   Whose train was really busy?

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   +28% Source: NMBS (2016)

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   Source: Leefmilieu Brussel (2013)

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   Source: Rail4Brussels (2016) NUMBER OF PASSENGERS OVER TIME OF DAY

   Weekday Saturday Sunday Morning peak (6-9h) Evening peak (15-19h)
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   How can we try to avoid busy trains? Incentivize people

   to take another train
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   Source: iRail data

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   Spitsgids We predict how busy your train will be, so

   you can leave earlier or later
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    Meet our 3 indicators

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    Passenger experience User feedback structurally busy trains

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    None
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    And now it’s our turn to publish Open Data Both

    real-time feedback as our predictions
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    User feedback Next step: challenging researchers to creating better predictions

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    iRail query logs User feedback Next step: challenging researchers to

    creating better predictions
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    User feedback weather Next step: challenging researchers to creating better

    predictions iRail query logs
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    User feedback weather Next step: challenging researchers to creating better

    predictions iRail query logs events
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    User feedback weather Next step: challenging researchers to creating better

    predictions iRail query logs events open datasets
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    The budget so far was crowd-funded And financially supported by

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    It was developed by our open Summer of code students

    Arne, Stan and Serkan
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    Thank you to our app builders Jan Cornelissen (Railer App

    - iPhone) Christophe Versieux (BeTrains - Android) and the iRail contributors
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    Let’s build a world where knowledge creates power for the

    many, not the few. @pietercolpaert https://hello.irail.be http://pieter.pm