Research Article

An Improved CEEMDAN-FE-TCN Model for Highway Traffic Flow Prediction

Table 7

Prediction error of different algorithms of 717490 and 718462.

717490718462

ModelEvaluation criterionOne-stepTwo-stepThree-stepModelEvaluation criterionOne-stepTwo-stepThree-step

TCNMAE24.9827.0028.59TCNMAE5.315.415.41
RMSE34.3336.7938.75RMSE7.017.117.16
GEH (Average)1.311.431.52GEH (Average)1.001.021.01
R-square0.9670.9620.958R-square0.8200.8150.812

LSTMMAE26.2227.5628.80LSTMMAE5.355.525.58
RMSE35.8337.7438.91RMSE7.027.287.34
GEH (Average)1.391.471.54GEH (Average)1.011.041.05
R-square0.9640.9600.957R-square0.8200.8060.803

GRUMAE25.0627.2328.10GRUMAE5.345.505.58
RMSE35.0337.8838.99RMSE7.027.247.37
GEH (Average)1.301.421.45GEH (Average)1.011.031.05
R-square0.9650.9600.957R-square0.8200.8080.801

SVRMAE30.3032.6933.80SVRMAE5.415.555.64
RMSE39.3342.5344.15RMSE7.177.317.42
GEH (Average)1.691.871.94GEH (Average)1.021.051.07
R-square0.9560.9490.945R-square0.8120.8040.799

HAMAE31.9233.7035.55HAMAE5.695.835.96
RMSE44.8947.7050.66RMSE7.557.767.95
GEH (Average)1.661.751.85GEH (Average)1.071.091.12
R-square0.9430.9360.928R-square0.7920.7800.769

ICEEMDAN-FE-TCNMAE7.3611.5713.87ICEEMDAN-FE-TCNMAE2.102.973.39
RMSE10.3416.9319.09RMSE2.963.994.36
GEH (Average)0.390.600.73GEH (Average)0.390.560.66
R-square0.9970.9920.990R-square0.9680.9420.927

ICEEMDAN-FE-LSTMMAE9.3213.3714.66ICEEMDAN-FE-LSTMMAE2.343.093.49
RMSE12.6118.2519.71RMSE3.104.084.48
GEH (Average)0.500.740.79GEH (Average)0.470.610.72
R-square0.9960.9910.989R-square0.9650.9390.927

ICEEMDAN-FE-GRUMAE8.4112.3214.91ICEEMDAN-FE-GRUMAE2.393.453.49
RMSE11.6817.2620.12RMSE3.144.334.51
GEH (Average)0.430.640.80GEH (Average)0.490.740.70
R-square0.9960.9920.989R-square0.9640.9310.925

ICEEMDAN-FE-SVRMAE17.1326.0828.95ICEEMDAN-FE-SVRMAE2.603.543.85
RMSE22.3133.5736.40RMSE3.554.795.16
GEH (Average)0.921.491.67GEH (Average)0.510.690.74
R-square0.9860.9680.963R-square0.9540.9160.903

Note.indicates the best results; ICEEMDAN means improved CEEMDAN.