Analysis and Prediction of Overloaded Extra-Heavy Vehicles for Highway Safety Using Machine Learning
Table 3
Clustering results of national and provincial highway data when K = 4.
Year
Quarter
Group
Time of entering highway
Gross weight of vehicle and goods
Category of gross weight
Proportion of gross weight (%)
Axis number
Proportion of axis number (%)
Overload rate
Proportion of vehicles (%)
2018
1
1
0:00–1:00 4:00–10:00
53.96
37 t –43 t
1.57
2
0.02
0.14
40.36
3
0.75
43 t –49 t
3.18
4
4.59
5
0.29
Over 49 t
95.25
6
94.36
2
2:00–3:00
81.75
Over 49 t
100
3
0.24
0.69
9.51
4
1.93
5
0.6
6
97.22
3
11:00
29.02
18 t –27 t
21.16
2
25.61
0.13
9.56
27 t –36 t
36.83
3
43.64
36 t –37 t
2.17
4
30.76
37 t –43 t
39.84
4
12:00–23:00
53.19
37 t –43 t
2.76
2
0.08
0.12
40.57
43 t –49 t
3.6
4
5.25
Over 49 t
93.65
6
93.11
2
1
0:00–8:00
53.14
37 t –43 t
2.76
2
0.01
0.13
47.95
3
1.56
43 t –49 t
3.61
4
4.97
Over 49 t
93.63
6
92.91
2
9:00–13:00
28.53
18 t –27 t
22.43
2
26.58
0.12
8.73
27 t –36 t
37.78
3
44.84
36 t –37 t
1.99
4
28.58
37 t –43 t
37.79
3
14:00–21:00
51.97
37 t –43 t
4.78
2
0.02
0.14
32.99
3
3.26
43 t –49 t
5.3
4
6.4
5
1.22
Over 49 t
89.92
6
89.09
4
22:00–23:00
77.5
Over 49 t
100
2
0.02
0.62
10.33
3
0.58
2.56
5
0.32
6
96.52
3
1
0:00–8:00
53.37
37 t –43 t
3.06
2
0.01
0.12
44.59
3
0.31
43 t –49 t
4.09
4
6.23
5
1.08
Over 49 t
92.85
6
92.37
2
9:00–15:00
28.01
18 t –27 t
25.81
2
30.12
0.11
8.36
27 t –36 t
33.61
3
37.33
36 t –37 t
1.07
4
32.55
37 t –43 t
39.51
3
16:00–20:00
53.46
37 t –43 t
2.57
3
0.31
0.12
41.12
43 t –49 t
3.09
4
4.61
Over 49 t
94.34
5
0.96
6
94.12
4
21:00–23:00
88.53
Over 49 t
100
4
1.55
0.82
5.93
6
98.45
4
1
0:00–8:00
57.05
43 t –49 t
6.81
2
0.2
0.25
41.18
3
1.2
4
10.7
Over 49 t
93.19
5
2.01
0.25
41.18
6
85.89
2
11:00
97.49
37 t –43 t
48.45
3
32.11
0.2
17.9
43 t –49 t
3.73
4
42.82
3
13:00–22:00
57.03
37 t –43 t
0.55
3
0.4
0.23
30.47
43 t –49 t
5.69
4
12.03
Over 49 t
93.76
5
1.12
6
86.45
4
11:00
97.49
18 t –27 t
0.21
3
0.38
1.02
10.45
4
2.52
Over 49 t
99.79
5
1.26
6
95.85
2019
1
1
0:00–3:00
75.63
Over 49 t
100
4
2.5
0.56
16.59
6
97.5
2
4:00–10:00
51.33
37 t –43 t
8.73
4
14.29
0.1
35.21
43 t –49 t
7.48
6
85.71
Over 49 t
83.79
3
11:00–13:00 18:00–23:00
49.99
37 t –43 t
9.13
3
0.72
0.08
43.28
43 t –49 t
8.52
4
12.56
Over 49 t
82.35
5
1.21
6
85.51
4
14:00–17:00
21.84
18 t –27 t
67.86
2
72.73
0.11
4.92
27 t –36 t
32.14
3
27.27
2
1
0:00–3:00
84.11
Over 49 t
100
3
0.6
0.75
33
4
2.4
6
97.01
2
4:00–5:00
57.2
43 t –49 t
3.15
3
0.65
0.24
31.67
4
10.34
Over 49 t
96.85
5
1.08
6
87.93
3
6:00–15:00
34.57
18 t –27 t
9.84
2
15.48
0.17
21.41
27 t –36 t
14.77
3
17.42
37 t –43 t
58.29
4
67.1
43 t –49 t
17.1
4
16:00–23:00
50.42
37 t –43 t
23.9
3
1.51
0.19
13.92
43 t –49 t
11.95
4
38.19
Over 49 t
64.14
6
60.3
0.19
13.92
3
1
22:00–1:00 7:00–13:00
39.83
27 t –36 t
4.29
2
2.8
0.16
29.29
36 t –37 t
2.86
3
8.41
37 t –43 t
75
4
85.98
43 t –49 t
12.86
6
2.8
Over 49 t
5
2
4:00–5:00 14:00–18:00
55.37
Over 49 t
95.96
6
90.91
0.204
0.4655
3
2:00–3:00
81.43
Over 49 t
100
4
7.69
0.72
13.18
6
92.31
4
0.25
25.87
18 t –27 t
40
2
57.14
0.25
10.98
27 t –36 t
60
3
42.86
4
1
0:00–4:00
78.89
Over 49 t
100
3
1.96
0.72
7.45
4
7.84
6
90.2
2
5:00–7:00
25.4
18 t –27 t
48.53
2
71.68
0.29
17.38
27 t –36 t
45.58
3
26.32
36 t –37 t
3.63
4
2.01
37 t –43 t
2.27
3
8:00–15:00
50.15
37 t –43 t
16.39
2
0.16
0.19
63.71
3
5.88
43 t –49 t
10.02
4
22.57
5
0.39
Over 49 t
73.59
6
71
4
16:00–23:00
51.71
37 t –43 t
13.75
3
10.67
0.25
11.47
43 t –49 t
16.49
4
17.78
Over 49 t
69.76
5
2.22
6
69.33
Clustering results of national and provincial highway data when K = 4 (1). Clustering results of national and provincial highway data when K = 4 (2). Clustering results of national and provincial highway data when K = 4 (3). Clustering results of national and provincial highway data when K = 4 (4). Clustering results of national and provincial highway data when K = 4 (5). Clustering results of national and provincial highway data when K = 4 (6)
