Traffic accident severity prediction based on an enhanced MSCPO-XGBoost hybrid model
Abstract Road traffic accidents pose a significant threat to public safety in China. This study proposes a novel severity prediction framework based on a Modified Stochastic Crested Porcupine Optimizer (MSCPO) combined with the XGBoost algorithm. The model was trained on 4287 accident cases from Chi...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-00797-7 |
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