Vehicle speed dataset

We obtained this dataset as part of a project to generate a realistic speed profile on a trip specified by GPS coordinates. Specifically, we focused on generating the speed profile for a passenger car traveling on an unfamiliar route, i.e., a route the machine-learning model has yet to see. The dataset contains 5973 rides of five different passenger cars, with a total length of 9049.3 km. The data was collected during 2021 in the Czech Republic and includes municipal and non-municipal trips.  The maximum allowed speed in the Czech Republic is 50 km/h in a municipality, 90 km/h outside a municipality and 130 km/h on a motorway. In addition, there may be sections with different speed limits.  We use Open Source Routing Machine (OSRM) map-matching algorithms to pair measured spatiotemporal data with Open Street Map (OSM) geographical data. For this purpose, we use Overpass API. Imputed information includes the road type, maximum speed limit, intersection exits, traffic signals or pedestrian crossings. Further, we add elevation and slope data from Open-Elevation API, an open-source elevation API based on Shuttle Radar Topography Mission (SRTM) data.  Citations Vrany, J., Krepelka, M., Chumlen, M. (2023). Generating Synthetic Vehicle Speed Records Using LSTM. In: Maglogiannis, I., Iliadis, L., MacIntyre, J., Dominguez, M. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 675. Springer, Cham. https://doi.org/10.1007/978-3-031-34111-3_12 Acknowledgement This dataset was supported by the Technology Agency of the Czech Republic project CK01000020, “Development of a GNSS route generator and CANBUS signal with machine learning using Software Defined Radio”, and project CK02000136, “Virtual Convoy—a comprehensive environment for testing CAR2X communication systems”.