Efficient visual analytics of localized high-frequency multimodal all-traffic trajectory data at urban intersections

For full functionality of this site it is necessary to enable JavaScript. Here are the instructions how to enable JavaScript in your web browser .

published

Published in:: Abstracts of the ICA
Vol. 10.2025 (12.12.2025), art. no. 178, p. 1-2
Volume:: 10.2025
Publication date:: 12.12.2025
URN:: urn:nbn:de:0307-20260226-001-3
DOI:: 10.5194/ica-abs-10-178-2025
Language:: English
Type of Resource:: Text
Extent:: 1 Online-Ressource (Seite 1-2, 788,02 kB) : 1 Tabelle, 1 Textdatei (PDF)
Keywords:: Visual Analytics^GND; multimodal all-traffic trajectory data; Lidar^GND; roadside LiDAR; multimodale Verkehrstrajektorien-Daten; Straßenrand-installiertes LiDAR
DDC subject of DNB:: 520 Astronomy & allied sciences
URL:: https://doi.org/10.5194/ica-abs-10-178-2025
URL:: https://ica-abs.copernicus.org/articles/10/178/2025/
Link to Raw Object:: https://ica-abs.copernicus.org/articles/10/178/2025/ica-abs-10-178-2025.pdf
Hosting institution:: Technical University of Munich (TUM) [DE]
Hosting institution:: University of Zurich (UZH) [CH]
Hosting institution:: Internationale Forschungseinrichtungen
Statement of responsibility:: Zihan Liu, Jiaying Xue, Yu Feng, Tumasch Reichenbacher, Liqiu Meng
Bibliographic notes:: Published in: Abstracts of the ICA, Volume 10, 2025 - 32nd International Cartographic Conference (ICC 2025); 17–22 August 2025, Vancouver, Canada; Editors: Mir Abolfazl Mostafavi, Jonathan Li, and Emmanuel Stefanakis | https://ica-abs.copernicus.org/articles/10/index.html