Scalable unsupervised multi-criteria trajectory segmentation and driving preference mining
Florian Barth, Stefan Funke, Tobias Skovgaard Jepsen, Claudius Proissl · 2020
We present analysis techniques for large trajectory data sets that aim to provide a semantic understanding of trajectories reaching beyond them being point sequences in time and space. The presented techniques use a driving preference model w.r.t. road segment traversal costs, e.g., travel time and distance, to analyze and explain trajectories.