Vibration and Obstacle Profiles Bike Routes Stuttgart

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Provided by GKSt GovData Freie und Hansestadt Hamburg

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Dataset information

Catalog
Country of origin
Updated
2023.03.06 11:04
Created
2022.06.20
Available languages
German
Keywords
mfund-fkz-19f2096a, mcloud_category_roads, mfund-projekt-smartradl, mcloud_id5961cb59-e073-4efb-88c9-0bb9723fb769
Quality scoring
290

Dataset description

Smartphone sensor data for (partial) automated classification of pre-determined road conditions of cycle paths in selected parts of the city of Stuttgart. Within the Android app Physics Toolboy Sensor Suite, the following data were recorded at a frequency of 20 Hz: — Acceleration force x,y,z (g-force) — Linear acceleration x,y,z (linear acceleration) — Rotational velocity x,y,z (rotational velocity) — Angle measurement pitch, roll, azimuth — Geoposition (latitude, longitude) — Timestamp Investigative sites: Campus Vaihingen, University of Stuttgart: Repeated navigation of selected sections of the route to generate a database. Hospitalviertel, Stuttgart city center: One-time driving along a predetermined route for the holistic reception of all road sections that can be accessed by cycling. The following features were recorded: — Drive asphalt — Driving cobblestones — Drive curbstone — Drive canal lid or pothole — Drive brake threshold — Hold The raw data is based on a methodology for (partial) automated classification. Since both data and methodology are freely available, they can be further enriched and used. Detailed documentation can be found at https://github.com/JohnPravin97/SmartRadL.
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