Research Article

CLSTAN: ConvLSTM-Based Spatiotemporal Attention Network for Traffic Flow Forecasting

Table 1

Comparisons of RMSE on TaxiBJ and BikeNYC datasets.

MethodsBikeNYCTaxiBj
RMSE

HA21.5757.79
SARIMA10.5626.88
VAR9.9222.88
ARIMA10.0722.78
ST-ANN—19.57
DeepST7.4318.18
VPN6.1716.75
ST-ResNet6.3716.69
PredNet7.4516.68
PredRNN5.9916.34
CLSTAN (our)5.6515.23