An explainable RF-CNN model for injury severity prediction in single-motorcycle crashes

@article{sonita2026,
  title        = {{An explainable RF-CNN model for injury severity prediction in single-motorcycle crashes}},
  author       = {Sonita Sum et al.},
  journal      = {Case Studies on Transport Policy},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.cstp.2026.101745},
}

TY  - JOUR
TI  - An explainable RF-CNN model for injury severity prediction in single-motorcycle crashes
AU  - al., Sonita Sum et
JO  - Case Studies on Transport Policy
PY  - 2026
ER  -

Sonita Sum et al. (2026). An explainable RF-CNN model for injury severity prediction in single-motorcycle crashes. *Case Studies on Transport Policy*. https://doi.org/https://doi.org/10.1016/j.cstp.2026.101745

Sonita Sum et al.. "An explainable RF-CNN model for injury severity prediction in single-motorcycle crashes." *Case Studies on Transport Policy* (2026). https://doi.org/https://doi.org/10.1016/j.cstp.2026.101745.

An explainable RF-CNN model for injury severity prediction in single-motorcycle crashes
Sonita Sum et al. · Case Studies on Transport Policy · 2026
https://doi.org/https://doi.org/10.1016/j.cstp.2026.101745