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).

ClustersNormalized X axisAlighting timeNormalized Y axisPure travel timePassenger flow (Data count)RatioRemark

Morning Peak

1-2.1657:46:280.2253097.21758.6%

2-2.0558:11:22-1.0512508.01241.4%

Flat Period

3-1.30111:03:05-0.2322886.0936.0%

4-1.06511:56:500.7373333.7312.0%Noisy

5-0.71913:15:371.7693810.328.0%Noisy

6-0.40414:27:06-0.3282841.91144.0%

Evening Peak

70.46417:44:501.1383519.01913.1%

80.47417:46:593.9234805.221.4%Noisy

90.48517:49:36-0.0332978.38860.7%

100.76318:52:50-0.9472555.83624.8%