Research Article
An Affinity Propagation-Based Clustering Method for the Temporal Dynamics Management of High-Speed Railway Passenger Demand
Table 1
Passenger flow intervals.
| | Classification results | 2014 | 2015 | | Time span | Time span |
| | Interval 1 | 1–24 | 1–43 | | Interval 2 | 25–29 | 44–48 | | Interval 3 | 30 | 49 | | Interval 4 | 31–47 | 50–67 | | Interval 5 | 48–91 | 68–91 | | Interval 6 | 92–95 | 92–95 | | Interval 7 | 96–122 | 96–122 | | Interval 8 | 123–126 | 123–126 | | Interval 9 | 127–179 | 127–186 | | Interval 10 | 180–251 | 187–254 | | Interval 11 | 252–271 | 255–271 | | Interval 12 | 272–286 | 272–285 | | Interval 13 | 287–365 | 286–365 |
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