Datasets

GPS, WiFi datasets

This dataset was collected in COhave project by 500 devices in a period of over 4 years (from April 2015 ). Last published: January 9, 2022.

Please cite the following papers when using this datasets. [1] Maroš Čavojský and Martin Drozda. Energy Efficient Trajectory Recording of Mobile Devices Using WiFi Scanning. The First International Workshop on Crowd Intelligence for Smart Cities. Proc. of 2016 Intl. IEEE Conferences on Ubiquitous Intelligence Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), pp. 1079-1085, IEEE, 2016. [2] Maroš Čavojský, Martin Drozda, Zoltán Balogh. Analysis and Experimental Evaluation of the Needleman-Wunsch Algorithm for Trajectory Comparison. Expert Systems with Applications, 2020, Elsevier.

CSV format

  • COhave (v4) GPSv1 Locations (CSV, 4.3 GB)
  • COhave (v4) GPSv2 Locations (CSV, 179 MB)
  • COhave (v4) WiFi Locations (CSV, 8.9 GB)
  • COhave (v4) WiFi Networks (CSV, 97 MB)
  • COhave (v4) WiFi Scans (CSV, 4 GB)

Zipped data export 2.3 GB is available to download here [ right click "Save as"]

You can download report from WiFi dataset analysis written in Slovak language here.

FunFi Location

struct of funfi location

FunFi Location v2

struct of funfi location v2

FunFi WiFi Location

struct of funfi wifi location

FunFi WiFi Network

struct of funfi wifi network

FunFi WiFi Scan

struct of funfi wifi scan

Bratislava, synthetic GPS tracks

This dataset was generated using the road network extracted from the OpenStreetMap database using the GraphHopper library, constrained to a road network in the center of Bratislava, Slovakia, with the area of about 80 sq. kilometers. In order to gain a large number of dense trajectories in such a small area, we generated similar trajectories for each route in both directions. Each trajectory is further enhanced with random Gaussian noise.

Please cite the following papers when using this datasets. [1] Maroš Čavojský and Martin Drozda. User Experience Meets GPS Trajectory Search. IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2023.

Dataset is available to download here [ right click "Save as"]