Replication Data for: "Development and plausibility assessment of an active human body model in numerical cyclist to vehicle collision simulations based on real-life accident data"
P. Lerge, N. Trube, und S. Schmitt. Dataset, (2024)Related to: N. Trube, P. Lerge, L.V. Noelle, J. Moennich, T. Lich, S. Schmitt, 'Development and plausibility assessment of an active human body model in numerical cyclist to vehicle collision simulations based on real-life accident data', IRCOBI Conference 2024.
DOI: 10.18419/darus-4221
Zusammenfassung
This dataset contains all necessary files and descriptions to extend the finite element passive THUMSv4 pedestrian human body model into a muscle-driven active human body model. It also contains all the necessary tools to reposition the standard THUMSv4 pedestrian model into the pose of a cyclist as described in the publication "Development and plausibility assessment of an active human body model in numerical cyclist to vehicle collision simulations based on real-life accident data" by Trube et al. (2024)
Lerge, Patrick/University of Stuttgart, Trube, Niclas/Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI, Schmitt, Syn/University of Stuttgart
Related to: N. Trube, P. Lerge, L.V. Noelle, J. Moennich, T. Lich, S. Schmitt, 'Development and plausibility assessment of an active human body model in numerical cyclist to vehicle collision simulations based on real-life accident data', IRCOBI Conference 2024
%0 Generic
%1 lerge2024replication
%A Lerge, Patrick
%A Trube, Niclas
%A Schmitt, Syn
%D 2024
%K darus ubs_10002 ubs_20002 ubs_30190 ubs_40394 unibibliografie
%R 10.18419/darus-4221
%T Replication Data for: "Development and plausibility assessment of an active human body model in numerical cyclist to vehicle collision simulations based on real-life accident data"
%X This dataset contains all necessary files and descriptions to extend the finite element passive THUMSv4 pedestrian human body model into a muscle-driven active human body model. It also contains all the necessary tools to reposition the standard THUMSv4 pedestrian model into the pose of a cyclist as described in the publication "Development and plausibility assessment of an active human body model in numerical cyclist to vehicle collision simulations based on real-life accident data" by Trube et al. (2024)
@misc{lerge2024replication,
abstract = {This dataset contains all necessary files and descriptions to extend the finite element passive THUMSv4 pedestrian human body model into a muscle-driven active human body model. It also contains all the necessary tools to reposition the standard THUMSv4 pedestrian model into the pose of a cyclist as described in the publication "Development and plausibility assessment of an active human body model in numerical cyclist to vehicle collision simulations based on real-life accident data" by Trube et al. (2024) },
added-at = {2024-05-27T11:53:42.000+0200},
affiliation = {Lerge, Patrick/University of Stuttgart, Trube, Niclas/Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI, Schmitt, Syn/University of Stuttgart},
author = {Lerge, Patrick and Trube, Niclas and Schmitt, Syn},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2df68a4ac0929e5bd301caadd42b35685/unibiblio},
doi = {10.18419/darus-4221},
howpublished = {Dataset},
interhash = {0290bfbcc71915599f0425f63134e8ad},
intrahash = {df68a4ac0929e5bd301caadd42b35685},
keywords = {darus ubs_10002 ubs_20002 ubs_30190 ubs_40394 unibibliografie},
note = {Related to: N. Trube, P. Lerge, L.V. Noelle, J. Moennich, T. Lich, S. Schmitt, 'Development and plausibility assessment of an active human body model in numerical cyclist to vehicle collision simulations based on real-life accident data', IRCOBI Conference 2024},
orcid-numbers = {Lerge, Patrick/0000-0001-6081-5226, Trube, Niclas/0000-0003-0258-7389, Schmitt, Syn/0000-0002-7768-8961},
timestamp = {2025-03-03T14:51:58.000+0100},
title = {Replication Data for: "Development and plausibility assessment of an active human body model in numerical cyclist to vehicle collision simulations based on real-life accident data"},
year = 2024
}
