Research Article

Fuzzy Temporal Logic Based Railway Passenger Flow Forecast Model

Table 1

The value of passenger flow, passenger flow change degree, passenger flow change rate, and fuzzy set.

DatePeriodPassenger flowThe value of passenger flow change degreePassenger flow change rateFuzzy set

2011.10.107:00–8:00702340.273
8:00–9:003041980.231
9:00–10:005024420.5158
10:00–11:00944−698−0.8145
11:00–12:00246−222−0.259
12:00–13:0024140.0163
13:00–14:00381580.1844
14:00–15:00196−19−0.0222
15:00–16:00177210.0245
16:00–17:001985430.6336
17:00–18:00741−563−0.6569
18:00–19:001782760.3221
19:00–20:004544670.5449
20:00–21:00921−857−1

2011.10.117:00–8:0064760.0887
8:00–9:001403210.3746
9:00–10:004615590.6523
10:00–11:001020−839−0.979
11:00–12:00181−147−0.1715
12:00–13:0034240.028
13:00–14:0058590.0688
14:00–15:00117630.0735
15:00–16:00180−33−0.0385
16:00–17:001475080.5928
17:00–18:00655−502−0.5858
18:00–19:001532830.3302
19:00–20:004363350.3909
20:00–21:00771−718−0.8378

2011.10.127:00–8:0053970.1132
8:00–9:001502820.3291
9:00–10:00432