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Titel:

Using Interactive Space-Time Cube Visualisation for Pattern Mining in Bicycle Trajectories and Traffic-Related Parameters

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Keler, Andreas; Ludwig, Sylvia; Zuo, Chenyu
Abstract:
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 exp...     »
Kongress- / Buchtitel:
31st Geographical Information Science Research UK (GISRUK) Conference (GISRUK)
Jahr:
2023
Volltext / DOI:
doi:https://doi.org/10.5281/zenodo.7839558
TUM Einrichtung:
Lehrstuhl für Verkehrstechnik
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