A machine-learning method for improving crash injury severity analysis: a case study of work zone crashes in Cairo, Egypt

Mahama Yahaya, Wenbo Fan, Chuanyun Fu, Xiang Li, Yue Su, Xinguo Jiang

Open source

DOI: 10.1080/17457300.2020.1746814
Published: 2020-04-01
Container: International Journal of Injury Control and Safety Promotion
Publisher: Informa UK Limited
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1080/17457300.2020.1746814,
  title = {A machine-learning method for improving crash injury severity analysis: a case study of work zone crashes in Cairo, Egypt},
  author = {Mahama Yahaya and Wenbo Fan and Chuanyun Fu and Xiang Li and Yue Su and Xinguo Jiang},
  year = {2020},
  journal = {International Journal of Injury Control and Safety Promotion},
  doi = {10.1080/17457300.2020.1746814},
  url = {https://doi.org/10.1080/17457300.2020.1746814}
}

RIS

TY  - JOUR
TI  - A machine-learning method for improving crash injury severity analysis: a case study of work zone crashes in Cairo, Egypt
AU  - Mahama Yahaya
AU  - Wenbo Fan
AU  - Chuanyun Fu
AU  - Xiang Li
AU  - Yue Su
AU  - Xinguo Jiang
PY  - 2020
JO  - International Journal of Injury Control and Safety Promotion
DO  - 10.1080/17457300.2020.1746814
UR  - https://doi.org/10.1080/17457300.2020.1746814
ER  -

APA

Yahaya, M., Fan, W., Fu, C., Li, X., Su, Y., & Jiang, X. (2020). A machine-learning method for improving crash injury severity analysis: a case study of work zone crashes in Cairo, Egypt. International Journal of Injury Control and Safety Promotion. https://doi.org/10.1080/17457300.2020.1746814

Source records

crossref · retrieved 2026-09-26T07:11:30.639Z