Classifying types of victims in a traffic accident using machine learning methods

Xuning Chang; Jiahui Cai; Hongxin Fu; Zuoyu Zhang

doi:10.1117/12.2626786

16 December 2021 Classifying types of victims in a traffic accident using machine learning methods

Xuning Chang, Jiahui Cai, Hongxin Fu, Zuoyu Zhang

Proceedings Volume 12153, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021); 121530F (2021) https://doi.org/10.1117/12.2626786
Event: International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021), 2021, Sanya, China

Abstract

With many previous works being done in the field of analyzing traffic accidents using machine learning, classification of victims and their sex seems to be a missing field. We aim to train a model to classify the types of victims and their sex in a traffic accident using various classification models and a dataset containing traffic accident data in France in 2019. We experimented with the variables involved using ablation study and gave the factors that are most relevant in determining the types of victims.

Citation Download Citation

Xuning Chang, Jiahui Cai, Hongxin Fu, and Zuoyu Zhang "Classifying types of victims in a traffic accident using machine learning methods", Proc. SPIE 12153, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021), 121530F (16 December 2021); https://doi.org/10.1117/12.2626786

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