Research Article

A Fuzzy Optimization Model for High-Speed Railway Timetable Rescheduling

Table 1

Rescheduling results of different cases.

Case R D1 D2 D3 D4 D5 D6 D7 D8 D9 D10 D11

R1 0 3 1 0 0 0 0 368784 47.5 5.38
Case  1R2 1 2 0 0 0 0 0 350449 31.5 3.39
R3 1 2 0 0 0 0 0 0.86392 33.5 1 178.17

R1 2 3 3 0 0 0 0 860720 122.43 6.22
Case  2 R2 2 2 3 0 0 0 0 848871 109.18 3.36
R3 2 2 3 0 0 0 0 0.89425 114.29 2 142.58

R1 0 0 0 2 18 34 6 7969213 3052.95 3.38
Case  3 R2 0 0 5 38 17 0 0 7473849 2248.26 3.32
R3 0 0 0 19 25 16 0 0.689117 2655.16 23.13

R1 0 0 0 0 19 30 11 9294339 3269.32 3.36
Case  4 R2 0 0 0 20 37 3 0 8577661 2486.32 3.39
R3 0 0 0 5 39 16 0 0.70606 2753.17 2 76.75

R1 0 0 0 0 19 24 17 9367637 3305.19 8.05
Case  5 R2 0 0 3 34 17 1 5 8671072 2557.32 7.97
R3 0 0 0 17 23 15 5 0.740856 2823.34 3 280.23

R1 0 0 0 1 17 27 15 8086249 3197.86 7.74
Case  6 R2 0 0 5 35 14 3 3 7588658 2397.15 7.75
R3 0 0 0 17 23 15 5 0.792877 2704.43 4 260.56