Mobile Virtual Reality Rail Traffic Congestion Prediction Algorithm Based on Convolutional Neural Network

Table 2

Experimental results.

Model	RMSE	MAE	MAPE/%	S (RMSE)
RW	28.6168	20.8329	10.3694	—
HA	26.0555	18.7785	8.8641	—
ARIMA	29.4193	21.6385	10.7134	—
LSTM1	23.5795	17.3004	8.5775	0.0921
LSTM2	23.7238	17.4530	8.7664	0.0788
CRU1	23.5875	17.3313	8.7126	0.0916
CRU2	23.5834	17.3427	8.6599	0.0930
DCFCN	23.1993	16.9903	8.4129	0.0868