Research Article

A Genetic Simulated Annealing Algorithm for Real-Time Track Reallocation in Busy Complex Railway Station

Table 5

Timetable information.

No.Train NumberArrival timeDeparture timeFixed track utilization planInitial TAPOptimal TAP

1D814  D815177214
2T810  T8111151104
3K310  K309170375
4D8251126353
5T822  T821136211210
6T971358337
7D74018257220
8T991958342
9D716  D71725407616
10D7932629728
11D836  D8373150726
12D826  D82744577616
13D782  D78349877814
14T812  T8176115311012
15D74168737216
16D7606972768
17D804  D80583100728
18D72892947620
19D7611071107220
200919110125372
21D750112117726
22D704  D7051221457220
23D7291281307614
24T802  T8031331971124
25D772  D773139172768
26D8161471527220
27T162148158377
28D7511541627214
29D794  D795166183726
30T806  T8071782291103
31D7181831867616
32D8171871907220
33D838193200722
34D828  D829200214766
35D7422142247220
36N582220228377
37D719221224766
38D784  D7852232407816