Research Article

The Aggregation Mechanism Mining of Passengers’ Flow with Period Distribution Based on Suburban Rail Lines

Table 4

The aggregation passenger flow based on distribution time.

Time rangeStation
St1St2St3St4St5St6St7St8St9St10St11

6:01–8:007,0316,0319,21415,27422,2151472116,0148,72110,72130,26428,214
8:01–10:0012,03113,0318,61011,20120,2036,32111,7826,3219,84319,72118,734
10:01–12:0010,5747,5747,1419,8456,20150149,4877,0347,12310,35116,321
12:01–14:009,4143,4146,5739,2165,84547825,0146,7918,7879,01410,024
14:01–16:009,01810,0345,3628,1429,21635876,5718,4825,5917,7829,789
16:01–18:008,1248,1245,2179,34513,201872120,3626,21710,2589,5878,137
18:01–20:0010,25022,2306,0579,7149,231632118,2179,3549,2398,21410,354
20:01–22:009,21713,2175,3258,5217,22750149,0578,2428,4279,2419,792