期刊论文

Yuan, C

英文

Accident analysis and prevention

0001-4575

2023

192

107271

10.1016/j.aap.2023.107271

CRediT authorship contribution statement Ye Li: Conceptualization, Methodology, Data curation, Writing - original draft. Zhanhao Yang: Conceptualization, Data curation, Methodology, Software, Visualization, Writing - original draft. Lu Xing: Conceptualization, Investigation, Project administration. Chen Yuan: Methodology, Supervision, Writing - review & editing. Fei Liu: Resources, Writing - review & editing. Dan Wu: Formal analysis, acquisition. Haifei Yang: Validation, Writing - review & editing.

本校为其他机构

For each road crash event, it is necessary to predict its injury severity. However, predicting crash injury severity with the imbalanced data frequently results in ineffective classifier. Due to the rarity of severe injuries in road traffic crashes, the crash data is extremely imbalanced among injury severity classes, making it challenging to the training of prediction models. To achieve interclass balance, it is possible to generate certain minority class samples using data augmentation techniques. Aiming to address the imbalance issue of crash injury severity data, this study applies a novel...