Clustering categories | ||||||
---|---|---|---|---|---|---|
Class 1 | 6.23 | 0.12 | 11.06 | 0.16 | 26.15 | 0.59 |
Class 2 | 16.25 | 0.25 | 18.26 | 0.59 | 35.56 | 0.23 |
Class 3 | 23.03 | 0.49 | 30.51 | 0.45 | 48.12 | 0.18 |
Characteristic parameters | Overall sample data | k-means | k-means++ | Grid-K-means | |||
---|---|---|---|---|---|---|---|
Fitted value | Relative error/% | Fitted value | Relative error/% | Fitted value | Relative error/% | ||
18.91 | 18.11 | 4.23 | 18.34 | 3.01 | 18.60 | 1.64 | |
1.85 | 1.95 | 5.41 | 1.88 | 1.62 | 1.86 | 0.54 | |
-2.36 | -2.45 | 3.81 | -2.43 | 2.97 | -2.39 | 1.27 | |
0.52 | 0.58 | 11.54 | 0.55 | 5.77 | 0.53 | 1.92 | |
0.49 | 0.41 | 16.32 | 0.44 | 10.20 | 0.47 | 4.08 | |
0.26 | 0.31 | 19.23 | 0.29 | 11.54 | 0.28 | 7.69 | |
10.09 | 5.85 | 2.86 |
Characteristic parameters | |||
---|---|---|---|
Segment duration T | 0.132 | 0.231 | 0.745 |
distance S | 0.293 | 0.134 | 0.045 |
Average speed V |
0.719 | 0.463 | -0.025 |
Average driving speed V |
0.478 | 0.615 | 0.112 |
Idle time ratio T |
0.125 | -0.351 | 0.843 |
Acceleration time ratio T |
0.694 | -0.156 | 0.060 |
Deceleration time ratio T |
0.923 | 0.341 | -0.123 |
Cruising time ratio T |
0.641 | 0.435 | -0.045 |
Mean acceleration a |
0.014 | 0.623 | 0.033 |
Mean deceleration a |
0.366 | -0.433 | -0.052 |
Standard deviation of acceleration a |
0.445 | 0.267 | -0.067 |
Standard deviation of speed Vstd | 0.387 | 0.215 | 0.034 |
Category | Eigenvalue | |
---|---|---|
Primary component | principal M1 | average speed, acceleration time ratio, deceleration time ratio, cruising time ratio |
Secondary component | principal M2 | average speed, acceleration time ratio, deceleration time ratio, cruising time ratio |
Third component | principal M3 | segment duration, idle time ratio |
Fragment number | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 119 | 203.29 | 6.15 | 7.60 | 0.06 | 0.17 | 0.08 | 0.03 | 0.42 | -0.66 | 0.48 | 5.05 |
2 | 319 | 2320.7 | 26.19 | 33.63 | 0.14 | 0.26 | 0.19 | 0.11 | 0.30 | -0.34 | 0.37 | 17.5 |
⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |
78 | 243 | 346 | 7.03 | 12.23 | 0.04 | 0.21 | 0.08 | 0.04 | 0.38 | -0.61 | 0.39 | 5.01 |
79 | 167 | 459.12 | 5.97 | 8.04 | 0.06 | 0.19 | 0.05 | 0.05 | 0.44 | -0.59 | 0.28 | 4.91 |
⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |
1584 | 169 | 829.04 | 17.66 | 23.65 | 0.13 | 0.19 | 0.09 | 0.07 | 0.36 | -0.50 | 0.48 | 14.8 |
1585 | 486 | 6799.9 | 50.37 | 52.65 | 0.02 | 0.18 | 0.13 | 0.30 | 0.19 | -0.20 | 0.29 | 16.5 |
Data set | k-means | k-means++ | Grid-K-means | |||
---|---|---|---|---|---|---|
Accuracy | Elapsed time | Accuracy | Elapsed time | Accuracy | Elapsed time | |
20000 | 92.76% | 25.82s | 93.16% | 34.86s | 95.78% | 25.83s |
80000 | 88.32% | 43.83s | 89.32% | 49.16s | 92.36% | 40.69s |
100000 | 87.24% | 58.12s | 87.65% | 67.94s | 90.12% | 50.38s |
Method | Acceleration distribution (m/s2) | |||
---|---|---|---|---|
(-∞,-0.64) | [-0.64,0.64] | (0.64,+∞) | ||
Grid-K-means | K-S value | 0.68 | 0.57 | 0.53 |
Similarity level | 0.89 | 0.96 | 0.99 | |
k-means++ | K-S value | 0.71 | 0.26 | 0.45 |
Similarity level | 0.79 | 0.44 | 0.82 |
Serial number | eigenvalue | contribution/% | Cumulative contribution/% |
---|---|---|---|
1 | 5.5605 | 43.23 | 43.23 |
2 | 3.2315 | 26.83 | 70.06 |
3 | 1.9901 | 16.14 | 86.20 |
4 | 1.0434 | 6.14 | 92.34 |
5 | 0.53476 | 3.11 | 95.45 |
6 | 0.45796 | 2.01 | 97.46 |
7 | 0.38341 | 1.22 | 98.68 |
8 | 0.21525 | 0.78 | 99.46 |
9 | 0.17450 | 0.23 | 99.69 |
10 | 0.10126 | 0.19 | 99.88 |
11 | 0.09324 | 0.08 | 99.96 |
12 | 0.02532 | 0.04 | 100 |