A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data

no code implementations • 2 Apr 2024 • Junlan Chen, Ziyuan Pu, Nan Zheng, Xiao Wen, Hongliang Ding, Xiucheng Guo

Usually, such data imbalance issues are addressed by data resampling methods, such as under-sampling and over-sampling techniques.

Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach

no code implementations • 1 Jan 2024 • Shuang Li, Ziyuan Pu, Zhiyong Cui, Seunghyeon Lee, Xiucheng Guo, Dong Ngoduy

This paper proposes a novel causal machine learning framework to estimate the causal effect of different types of crashes on highway speed.

Causal Inference counterfactual +1