We used MoveTK to compute a schematic overview map of large volumes of vehicle GPS trajectories. The paper, “Coordinated Schematization for Visualizing Mobility Patterns on Networks“, will be presented at GIScience 2021 but is already available at https://doi.org/10.4230/LIPIcs.GIScience.2021.II.7
The source code can be found on GitHub.
Aniket Mitra, one of the lead engineers of MoveTK, has provided a keynote at the International Workshop on Analytics for Big Geospatial Data (BigSpatial 2020), a satellite event at ACM SIGSPATIAL GIS. His talk discusses the principles underlying the implementation, and showcases the scalability and features of our toolkit.
For more details, see the BigSpatial website:
The MoveTK library has been used to implement and run the experiments in the paper “Maximum Physically Consistent Trajectories”, which won the Best Paper Award at ACM SIGSPATIAL 2019. The paper is available on the TU/e repository:
https://research.tue.nl/en/publications/maximum-physically-consistent-trajectories
The algorithms described in this work have been released with MoveTK v0.6.
MoveTK is a library for computational movement analysis written in C++. The library has been developed as part of a collaboration between HERE Technologies, Eindhoven University of Technology and Utrecht University under the Commit2Data program.
The first open version of the MoveTK library (pre-release v0.6) has been released on GitHub: