AMFormer-based framework for accident responsibility attribution: Interpretable analysis with traffic accident features.
Accurately determining responsibility in traffic accidents is crucial for ensuring fairness in law enforcement and optimizing responsibility standards. Traditional methods predominantly rely on subjective judgments, such as eyewitness testimonies and police investigations, which can introduce biases...
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| Main Authors: | Yahui Wang, Zhoushuo Liang, Yue He, Jiahao Wu, Pengfei Tian, Zhicheng Ling |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0329107 |
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