Inferring crowd crush accidents in typical high-density pedestrian movement zones via the vision-trajectory fusion neural network.
- DOI
- 10.1016/j.aap.2026.108482
- Published
- 2026 Jun
- Container
- Accident; analysis and prevention
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.aap.2026.108482,
title = {Inferring crowd crush accidents in typical high-density pedestrian movement zones via the vision-trajectory fusion neural network.},
author = {Thomas Xie CZ and Zhang H and Zhang Y and Yang X and He Z and Tian Y},
year = {2026},
journal = {Accident; analysis and prevention},
doi = {10.1016/j.aap.2026.108482},
url = {https://doi.org/10.1016/j.aap.2026.108482}
}RIS
TY - JOUR TI - Inferring crowd crush accidents in typical high-density pedestrian movement zones via the vision-trajectory fusion neural network. AU - Thomas Xie CZ AU - Zhang H AU - Zhang Y AU - Yang X AU - He Z AU - Tian Y PY - 2026 JO - Accident; analysis and prevention DO - 10.1016/j.aap.2026.108482 UR - https://doi.org/10.1016/j.aap.2026.108482 ER -
APA
CZ, T. X., H, Z., Y, Z., X, Y., Z, H., & Y, T. (2026). Inferring crowd crush accidents in typical high-density pedestrian movement zones via the vision-trajectory fusion neural network.. Accident; analysis and prevention. https://doi.org/10.1016/j.aap.2026.108482
Source records
- pubmed · retrieved 2026-09-27T00:35:23.591Z