Predicting errors in accident hotspots and investigating satiotemporal, weather, and behavioral factors using interpretable machine learning: An analysis of telematics big data.
- DOI
- 10.1371/journal.pone.0326483
- Published
- 2025
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0326483,
title = {Predicting errors in accident hotspots and investigating satiotemporal, weather, and behavioral factors using interpretable machine learning: An analysis of telematics big data.},
author = {Golestani A and Rezaei N and Malekpour MR and Ahmadi N and Ataei SM and Khosravi S and Jafari A and Shahraz S and Farzadfar F},
year = {2025},
journal = {PloS one},
doi = {10.1371/journal.pone.0326483},
url = {https://doi.org/10.1371/journal.pone.0326483}
}RIS
TY - JOUR TI - Predicting errors in accident hotspots and investigating satiotemporal, weather, and behavioral factors using interpretable machine learning: An analysis of telematics big data. AU - Golestani A AU - Rezaei N AU - Malekpour MR AU - Ahmadi N AU - Ataei SM AU - Khosravi S AU - Jafari A AU - Shahraz S AU - Farzadfar F PY - 2025 JO - PloS one DO - 10.1371/journal.pone.0326483 UR - https://doi.org/10.1371/journal.pone.0326483 ER -
APA
A, G., N, R., MR, M., N, A., SM, A., S, K., A, J., S, S., & F, F. (2025). Predicting errors in accident hotspots and investigating satiotemporal, weather, and behavioral factors using interpretable machine learning: An analysis of telematics big data.. PloS one. https://doi.org/10.1371/journal.pone.0326483
Source records
- pubmed · retrieved 2026-11-11T03:20:48.216Z