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Table 10 Example results for models ANN-G through ANN-K

From: Modeling retroreflectivity degradation of pavement markings across the US with advanced machine learning algorithms

Variable type

Variables

Reported values

ANN-G

ANN-H

ANN-I

ANN-J

ANN-K

Input

E (month)

15

21

24

33

36

S

Asphalt

Asphalt

Asphalt

Asphalt

Asphalt

T

Polyurea

Polyurea

Polyurea

Polyurea

Polyurea

C

White

White

White

White

White

M

M-29

M-29

M-29

M-29

M-29

TH (mil)

20.7

20.7

20.7

20.7

20.7

b

N/A

N/A

N/A

N/A

N/A

B

Premium optics “Utah blend”

Premium optics “Utah blend”

Premium optics “Utah blend”

Premium optics “Utah blend”

Premium optics “Utah blend”

TR

16,798,000

23,791,000

27,158,000

30,229,000

37,259,000

SN (in.)

3.9

5.0

5.0

5.0

8.0

Input RS (mcd/m2/lux)

87

133

127

137

98

Prediction horizon (month)

21

24

27

33

36

Output

PRS (mcd/m2/lux)

133

127

137

98

96

Actual

Actual RS (mcd/m2/lux)

127

58

86

89

87