Event start: 1 year, 1 month ago
Event Information
- Time
- Dec. 29, 2020, 6:15 p.m. - Dec. 29, 2020, 6:55 p.m.
- Speakers
- No Speakers publicated yet
- Track
- Other
- Language
- en
- Room
- hacc/a:f
- Host
- hackers against climate change
scraped publicly available parking deck data in Marburg for around 7 months, analysed it to find the parking patterns in Marburg and predicted the parking demand at locations without parking decks.tdi
What is your car's favourite spare time hobby? It parks around. In this project, I investigated the parking behaviour for the case of Marburg (a city 1h from Frankfurt known for its university). The analyses comprise of a time series analysis, day-time usage of parking spots and the computation of periodicities in the parking signal with autocorrelations. Lastly, I used a Gaussian Process to predict the parking demand at locations that do not feature a parking deck - such as the university Mensa.
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