A novel method for the automated simulation of various vehicle collisions to estimate crash severity.
- DOI
- 10.1080/15389588.2022.2159761
- Published
- 2023
- Container
- Traffic injury prevention
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1080/15389588.2022.2159761,
title = {A novel method for the automated simulation of various vehicle collisions to estimate crash severity.},
author = {Breitlauch P and Erbsmehl CT and van Ratingen M and Mallada JL and Sandner V and Ferson N and Urban M},
year = {2023},
journal = {Traffic injury prevention},
doi = {10.1080/15389588.2022.2159761},
url = {https://doi.org/10.1080/15389588.2022.2159761}
}RIS
TY - JOUR TI - A novel method for the automated simulation of various vehicle collisions to estimate crash severity. AU - Breitlauch P AU - Erbsmehl CT AU - van Ratingen M AU - Mallada JL AU - Sandner V AU - Ferson N AU - Urban M PY - 2023 JO - Traffic injury prevention DO - 10.1080/15389588.2022.2159761 UR - https://doi.org/10.1080/15389588.2022.2159761 ER -
APA
P, B., CT, E., M, V. R., JL, M., V, S., N, F., & M, U. (2023). A novel method for the automated simulation of various vehicle collisions to estimate crash severity.. Traffic injury prevention. https://doi.org/10.1080/15389588.2022.2159761
Source records
- pubmed · retrieved 2026-09-26T12:32:21.752Z
- europe-pmc · retrieved 2026-09-26T12:32:21.751Z