3 citations · 3 across the 3 of their papers we have counts for
3 papers
eess.SY2024★ 3 cited
A hybrid neural network for real-time OD demand calibration under disruptions
Takao Dantsuji, Dong Ngoduy, Ziyuan Pu +2
Existing automated urban traffic management systems, designed to mitigate traffic congestion and reduce emissions in real time, face significant challenges in effectively adapting…
cs.LG2024
A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data
Junlan Chen, Ziyuan Pu, Nan Zheng +3
Crash data is often greatly imbalanced, with the majority of crashes being non-fatal crashes, and only a small number being fatal crashes due to their rarity. Such data imbalance i…
cs.LG2024
Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach
Shuang Li, Ziyuan Pu, Zhiyong Cui +3
Highway traffic crashes exert a considerable impact on both transportation systems and the economy. In this context, accurate and dependable emergency responses are crucial for eff…