Zhang, Buchuan ORCID: 0009-0002-2368-7207 and Schadschneider, Andreas ORCID: 0000-0002-2054-7973 (2025). Comprehensive Statistical Analysis of Skiers’ Trajectories: Turning Points, Minimum Distances, and the Fundamental Diagram. Sensors, 25 (5). pp. 1-29. MDPI. ISSN 1424-8220

[thumbnail of sensors-25-01379.pdf] PDF
sensors-25-01379.pdf
Bereitstellung unter der CC-Lizenz: Creative Commons Attribution.

Download (10MB)
Identification Number:10.3390/s25051379

Abstract

[Artikel-Nr. 1379] In recent years, an increasing number of accidents at ski resorts have raised significant safety concerns. To address these issues, it is essential to understand skiing traffic and the underlying dynamics. We collected 225 trajectories, which were analyzed after a correction process. To obtain a quantitative classification of typical trajectories we focus on three main quantities: turning points, minimum distance, and the fundamental diagram. Our objective was to analyze these trajectories in depth and identify key statistical properties. Our findings indicate that three factors—turning angle, curvature, and velocity change—can be used to accurately identify turning points and classify skiers’ movement styles. We found that aggressive skiers tend to exhibit larger and less stable turning angles, while conservative skiers demonstrate a more controlled style, characterized by smaller, more stable turns. This is consistent with observations made for the distribution of the minimum distance to other skiers. Furthermore, we have derived a fundamental diagram which is an important characteristic of any traffic system. It is found share more similarities with the fundamental diagram of ant trails than those of highway traffic.

Item Type: Article
Creators:
Creators
Email
ORCID
ORCID Put Code
Zhang, Buchuan
UNSPECIFIED
UNSPECIFIED
Schadschneider, Andreas
UNSPECIFIED
UNSPECIFIED
URN: urn:nbn:de:hbz:38-794752
Identification Number: 10.3390/s25051379
Journal or Publication Title: Sensors
Volume: 25
Number: 5
Page Range: pp. 1-29
Number of Pages: 1
Date: 24 February 2025
Publisher: MDPI
ISSN: 1424-8220
Language: English
Faculty: Faculty of Mathematics and Natural Sciences
Divisions: Faculty of Mathematics and Natural Sciences > Department of Physics > Institute for Theoretical Physics
Subjects: Physics
['eprint_fieldname_oa_funders' not defined]: Publikationsfonds UzK
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/79475

Downloads

Downloads per month over past year

Altmetric

Export

Actions (login required)

View Item View Item