Golze, J., & Sester, M. (2024). Determining user specific #semantics of locations extracted from #TrajectoryData. Transportation Research Procedia, 78, 215-221. - "stop points are extracted from the GPS #trajectories using the #Python framework MovingPandas"
3 simultaneous #Heatdome|s over N-America, the tropical N-Atlantic, and the W-Mediterranean. Shown is the geopotential, which is (near) record high in all 3 areas. The strong upper anticyclones favor large-scale, strong subsidence and adiabatic heating.
The backward #Trajectories for #Sicily clearly show how the air is trapped in the broad circulation of the anticyclone, descending as if in a swirl and heating.
"The raw #GPS coordinates and their timestamps were processed to detect individual #trajectories (trips) for each battery using @movingpandas
The individual trajectories were split between stopping points, which were detected when the coordinates of the #batteries remained within a diameter of 200 m for at least 5 min
For each detected trip, the start time, end time, trip duration, trip distance, and average trip speed were determined and recorded for further analysis