Using interactive space-time cube visualisation for pattern mining in bicycle trajectories and traffic-related parameters
- 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.
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| Author: | Andreas KelerORCiD, Sylvia Ludwig, Chenyu Zuo |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-1141883 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/114188 |
| Parent Title (English): | 31st Geographical Information Science Research UK (GISRUK) Conference, 19th-21st April 2023, Glasgow, Scotland |
| Publisher: | Zenodo |
| Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2024/07/19 |
| Year of first Publication: | 2023 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2024/07/19 |
| Edition: | Online-Ressource |
| DOI: | https://doi.org/10.5281/zenodo.7839557 |
| Institutes: | Fakultät für Angewandte Informatik |
| Fakultät für Angewandte Informatik / Institut für Geographie | |
| Fakultät für Angewandte Informatik / Institut für Geographie / Professur für Angewandte Geoinformatik | |
| Dewey Decimal Classification: | 9 Geschichte und Geografie / 91 Geografie, Reisen / 910 Geografie, Reisen |
| Licence (German): |  CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand) |
