Published April 19, 2023
| Version v1
Poster
Open
Using Interactive Space-Time Cube Visualisation for Pattern Mining in Bicycle Trajectories and Traffic-Related Parameters
Authors/Creators
- 1. 1Applied Geoinformatics, University of Augsburg, Chair of Traffic Engineering and Control, Technical University Munich
- 2. Chair of Cartography and Visual Analytics, Technical University Munich
Description
This work focuses on the visualisation of bicycle trajectories at an urban junction in Munich, Germany, using a Space-Time cube (STC) approach. The trajectories are obtained from a traffic observation using computer-vision-based approaches and pre-processed for analysis. A GUI implementation in MATLAB is introduced for evaluating the usefulness of the STC technique for transport planning and engineering purposes, with a focus on evaluating traffic safety. The visual patterns are evaluated by experts based on the quality of five interactive components of the implemented STC GUI.
Files
GISRUK_2023_paper_7346.pdf
Files
(996.9 kB)
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