Edited
Challenge
Project
sbbweather
What influence does the weather have on your train journey?
⛶ Fullscreen
↓ Download
This team is analysing fresh SBB weather data.
Challenge
Data
Statt teuer Wetter Daten einzukaufen, könnten die Daten vom Integrated Surface Database (ISD) des amerikanischen Wetterdienst bezogen werden. Enthalten sind hier die historischen Stundenwerte aller Wetterstationen weltweit. Die Daten sind frei verfügbar.
First Update
We are working with SBB weather data, did some wrangling and found some outliners which they were very thankful for - e.g. some trains which ran 1 km per second. The data is 2GB of 5 minute periods for one year, it's in a separate file to the track data. Still struggling with that, but we have some models we are planning, and ran some already on the data. We'll see what we can build by tomorrow.
Energielast Tool
Für einen produktiven Einsatz bei den SBB könnten die Real-Time Daten von MeteoSchweiz (Open Data) eingebunden werden. Es könnte dann der Energieverbrauch berechnet werden. Ein sehr einfachen Prototype findet sich unter http://hackday.nemundo.ch
Event finished
Joined the team
16.02.2019 12:51
~
urs_lang
Joined the team
16.02.2019 01:26
~
oleg
First post View challenge
16.02.2019 01:26
~
oleg
Challenge
Event started
#energyhack2019
All attendees, sponsors, partners, volunteers and staff at our hackathon are required to agree with the Hack Code of Conduct. Organisers will enforce this code throughout the event. We expect cooperation from all participants to ensure a safe environment for everybody. For more details on how the event is run, see the Guidelines on our wiki.
The contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License.