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Table 4 Fraction of traffic stations (in percent) for which a predictor variable or interaction term is selected by the model selection procedure

From: Modeling hourly weather-related road traffic variations for different vehicle types in Germany

 

Highway

Federal road

Predictor variable

Mot

Car

Van

Trk

Mot

Car

Van

Trk

hour

0

0

0

0

0

0

0

0

dow

0

0

0

0

0

0

0

0

mon

100

100

100

100

100

100

100

100

hour:dow

100

100

100

100

100

100

100

100

holiday

6

54

74

99

1

78

79

91

trend

13

38

12

58

19

23

9

27

break

2

4

11

11

1

6

8

4

break:trend

36

32

79

27

10

44

70

38

break:hour

52

33

70

23

14

46

74

48

temp

95

89

76

8

93

86

38

16

temp

33

0

0

0

55

0

0

1

temp\(^2\)

3

4

1

0

7

0

0

0

temp\(^3\)

7

0

0

0

17

0

0

0

temp\(^4\)

15

0

0

0

14

1

0

0

weekend:temp

59

82

54

5

39

82

29

13

weekend:temp\(^2\)

10

18

30

2

18

11

9

3

weekend:temp\(^3\)

7

3

1

1

23

8

1

0

weekend:temp\(^4\)

23

4

1

0

17

18

1

0

cloud

68

10

1

0

99

45

4

0

cloud

3

0

0

0

3

0

0

0

cloud\(^2\)

9

1

0

0

25

0

0

0

cloud\(^3\)

1

0

0

0

3

0

0

0

cloud\(^4\)

0

0

0

0

1

0

0

0

weekend:cloud

18

5

1

0

9

13

2

0

weekend:cloud\(^2\)

31

3

0

0

50

15

1

0

weekend:cloud\(^3\)

5

1

0

0

10

10

1

0

weekend:cloud\(^4\)

1

0

0

0

2

7

0

0

wind

52

7

4

4

89

15

3

1

wind

1

0

0

0

2

0

0

0

wind\(^2\)

3

0

0

0

10

0

0

0

wind\(^3\)

1

0

0

0

6

0

0

0

wind\(^4\)

0

0

0

0

0

0

0

0

weekend:wind

24

6

4

4

7

9

3

0

weekend:wind\(^2\)

14

1

1

0

27

4

0

0

weekend:wind\(^3\)

9

0

0

0

30

2

0

0

weekend:wind\(^4\)

1

0

0

0

7

0

0

0

precip

40

5

25

0

90

1

2

0

precip

0

0

0

0

0

0

0

0

precip\(^{(1/2)}\)

1

0

0

0

1

0

0

0

precip\(^{(1/3)}\)

5

0

1

0

3

0

0

0

precip\(^{(1/4)}\)

3

0

0

0

9

0

0

0

weekend:precip

0

0

0

0

0

0

0

0

weekend:precip\(^{(1/2)}\)

8

0

8

0

11

0

1

0

weekend:precip\(^{(1/3)}\)

11

1

14

0

23

0

1

0

weekend:precip\(^{(1/4)}\)

9

3

1

0

43

1

0

0

  1. Note that for one station a meteorological variable can be selected multiple times, e.g. with different exponents. Rows with italic font show the fraction of stations for which a specific meteorological variable was selected at least once with any exponent or in an interaction term