Research Article
Using Smart Card Data Trimmed by Train Schedule to Analyze Metro Passenger Route Choice with Synchronous Clustering
Table 4
Result of synchronous clustering algorithm (Sync).
| Clusters | Normalized X axis | Alighting time | Normalized Y axis | Pure travel time | Passenger flow (Data count) | Ratio | Remark |
| | Morning Peak |
| 1 | -2.165 | 7:46:28 | 0.225 | 3097.2 | 17 | 58.6% | |
| 2 | -2.055 | 8:11:22 | -1.051 | 2508.0 | 12 | 41.4% | |
| | Flat Period |
| 3 | -1.301 | 11:03:05 | -0.232 | 2886.0 | 9 | 36.0% | |
| 4 | -1.065 | 11:56:50 | 0.737 | 3333.7 | 3 | 12.0% | Noisy |
| 5 | -0.719 | 13:15:37 | 1.769 | 3810.3 | 2 | 8.0% | Noisy |
| 6 | -0.404 | 14:27:06 | -0.328 | 2841.9 | 11 | 44.0% | |
| | Evening Peak |
| 7 | 0.464 | 17:44:50 | 1.138 | 3519.0 | 19 | 13.1% | |
| 8 | 0.474 | 17:46:59 | 3.923 | 4805.2 | 2 | 1.4% | Noisy |
| 9 | 0.485 | 17:49:36 | -0.033 | 2978.3 | 88 | 60.7% | |
| 10 | 0.763 | 18:52:50 | -0.947 | 2555.8 | 36 | 24.8% | |
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