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Four methods to compare the results of the experiment
| Clustering method | The number of wrong samples | Average running time / s | Average accuracy /% | SAFDdiff/% |
|---|---|---|---|---|
| k-means | 184 | 260.5 | 89 | 1.98 |
| Literature[17] | 121 | 202.75 | 97 | 1.54 |
| Literature[18] | 98 | 181.5 | 99 | 1.25 |
| The algorithm in this paper | 101 | 145.25 | 98 | 1.05 |
Principal component loading matrix
| Characteristic parameter | M1 | M2 | M3 | M4 |
|---|---|---|---|---|
| Deceleration time ratio Td | 0.423 | 0.341 | −0.723 | 0.248 |
| Distance traveled S | 0.893 | 0.134 | 0.045 | 0.432 |
| Fragment duration T | 0.432 | 0.231 | −0.142 | 0.768 |
| Acceleration time ratio Ta | 0.394 | −0.156 | 0.060 | 0.491 |
| Cruise time ratio Tc | 0.341 | 0.835 | −0.045 | −0.138 |
| Average velocity Va | 0.499 | 0.763 | 0.025 | 0.255 |
| Average driving speed Vd | 0.778 | 0.315 | 0.112 | 0.358 |
| Speed standard deviation Vstd | 0.198 | 0.033 | 0.034 | 0.189 |
| Accelerate standard deviation astd | 0.145 | 0.267 | −0.067 | −0.121 |
| Average acceleration aa | 0.014 | 0.223 | 0.033 | 0.024 |
| Average deceleration ad | 0.566 | −0.433 | −0.052 | 0.315 |
| Idle Time Ratio Ti | 0.125 | −0.351 | 0.843 | 0.467 |