Open access
Dec 2025
Interpretable machine learning for traffic congestion prediction: Unveiling the impact of different COVID-19 periods
This study predicts congestion in Alameda County, California, during pre-lockdown, lockdown, and post-lockdown periods, and finds Bidirectional LSTM consistently performs best across all periods because it captures temporal dependence in both directions.
Danmiao Zhu, Chi-Sin Ng, Litian Xie et al.
· Communications in Transporta... · 3 citations