The Traffic Flow Prediction Method Using the Incremental Learning-Based CNN-LTSM Model: The Solution of Mobile Application

Table 3

Performance comparison results of different models.

Model	MRE	MAE	RMSE
AR	0.5816	30.82	28.24
ARIMA	0.4870	16.56	22.78
kNN-5	0.2832	12.43	17.26
kNN-10	0.2762	12.02	16.78
SVM	0.6749	18.81	23.43
LSTM	0.5538	18.20	23.41
DeepST	0.2998	12.36.	18.18
ST-ResNet	0.2677	12.31	16.69
TF-Net	0.2480	9.35	15.68
IL-TFNet-1	0.2614	10.47	16.35
IL-TFNet-2	0.2541	9.31	15.51
IL-TFNet-3	0.2516	9.26	15.27