GCN-LSTM forecaster cuts accident-count MAE 18.4% against StemGNN in a two-stage traffic model
Wang, He, Liang and colleagues report a two-stage model that cuts accident-count MAE 18.4% against StemGNN and reaches 87% accuracy on injury severity. The severity stage labels crashes that have already happened, so the 87% is a triage figure, not a forecast.
Reality
- Evidence50
- Adoption
- Insufficient
- Hype gap+20
- Incentives20
- Confidence55