Research Article

A Real-Time Train Timetable Rescheduling Method Based on Deep Learning for Metro Systems Energy Optimization under Random Disturbances

Table 6

The optimal timetable of the three-train system.

SectionSpacing (m)Train no.Departure instantArrival instantDwell time (s)Coasting speed (m/s)

Xujiahui ⟶ Hengshan Road1458.518:00:008:01:412018.12
28:02:008:03:292021.96
38:04:008:05:4225.318

Hengshan Road ⟶ Changshu Road1125.718:02:018:03:182019.88
28:03:498:05:0520.220.52
38:06:078:07:2529.519.16

Changshu Road ⟶ South Shaanxi Road979.218:03:388:04:5126.318
28:05:258:06:3227.521.32
38:07:558:09:0726.818

South Shaanxi Road ⟶ South Huangpi Road1377.418:05:178:06:542018
28:07:008:08:2620.121.52
38:09:348:11:002021.84

South Huangpi Road ⟶ People’s Square1526.818:07:148:09:002018.04
28:08:468:10:202021.4
38:11:208:13:062018.04

People’s Square ⟶ Xinzha Road961.218:09:208:10:2521.6
28:10:408:11:4721.12
38:13:268:14:3320.08