Table 2 Performance on METR-LA and PEMS-BAY.

From: STICformer: spatio-temporal intrinsic connections transformer for traffic flow prediction

Datasets

Metric

HI2021

GWNet2019

DCRNN2018

AGCRN2020

STGCN2018

GTS2021

MTGNN2020

STNorm2021

GMAN2020

PDFormer2023

STID2022

STAEformer2023

STICformer

METR-LA

Horizon 3 (15 min)

MAE

6.80

2.69

2.67

2.85

2.75

2.75

2.69

2.81

2.80

2.83

2.82

2.65

2.63

RMSE

14.21

5.15

5.16

5.53

5.29

5.27

5.16

5.57

5.55

5.45

5.53

5.11

5.05

MAPE

16.72%

6.99%

6.86%

7.63%

7.10%

7.12%

6.89%

7.40%

7.41%

7.77%

7.75%

6.85%

6.71%

Horizon 6 (30 min)

MAE

6.80

3.08

3.12

3.20

3.15

3.14

3.05

3.18

3.12

3.20

3.19

2.97

2.95

RMSE

14.21

6.20

6.27

6.52

6.35

6.33

6.13

6.59

6.49

6.46

6.57

6.00

5.98

MAPE

16.72%

8.47%

8.42%

9.00%

8.62%

8.62%

8.16%

8.47%

8.73%

9.19%

9.39%

8.13%

8.08%

Horizon 12 (60 min)

MAE

6.80

3.51

3.54

3.59

3.60

3.59

3.47

3.57

3.44

3.62

3.55

3.34

3.33

RMSE

14.20

7.28

7.47

7.45

7.43

7.44

7.21

7.51

7.35

7.47

7.55

7.02

6.99

MAPE

10.15%

9.96%

10.32%

10.47%

10.35%

10.25%

9.70%

10.24%

10.07%

10.91%

10.95%

9.70%

9.68%

PEMS-BAY

Horizon 3 (15 min)

MAE

3.06

1.30

1.31

1.35

1.36

1.37

1.33

1.33

1.35

1.32

1.31

1.31

1.30

RMSE

7.05

2.73

2.76

2.88

2.88

2.92

2.80

2.82

2.90

2.83

2.79

2.78

2.75

MAPE

6.85%

2.71%

2.73%

2.91%

2.86%

2.85%

2.81%

2.76%

2.87%

2.78%

2.78%

2.76%

2.73%

Horizon 6 (30 min)

MAE

3.06

1.63

1.65

1.67

1.70

1.72

1.66

1.65

1.65

1.64

1.64

1.62

1.61

RMSE

7.04

3.73

3.75

3.82

3.84

3.86

3.77

3.77

3.82

3.79

3.73

3.68

3.64

MAPE

6.84%

3.73%

3.71%

3.81%

3.79%

3.88%

3.75%

3.66%

3.74%

3.71%

3.73%

3.62%

3.61%

Horizon 12 (60 min)

MAE

3.05

1.99

1.97

1.94

2.02

2.06

1.95

1.92

1.92

1.91

1.91

1.88

1.87

RMSE

7.03

4.60

4.60

4.50

4.63

4.60

4.50

4.45

4.49

4.43

4.42

4.34

4.31

MAPE

6.83%

4.71%

4.68%

4.55%

4.72%

4.88%

4.62%

4.46%

4.52%

4.51%

4.55%

4.41%

4.42%