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

Table 3

The optimal timetable of the two-train system.

Section	Spacing (m)	Train no.	Departure instant	Arrival instant	Dwell time (s)	Coasting speed (m/s)
Xujiahui ⟶ Hengshan Road	1458.5	1	8:00:00	8:01:30	29.6	21.8
		2	8:02:00	8:03:42	20.1	18
Hengshan Road ⟶ Changshu Road	1125.7	1	8:01:59	8:03:21	28.4	18
		2	8:04:02	8:05:22	27.2	18.32
Changshu Road ⟶ South Shaanxi Road	979.2	1	8:03:49	8:04:56	22.0	21.08
		2	8:05:49	8:07:01	23.4	18.4
South Shaanxi Road ⟶ South Huangpi Road	1377.4	1	8:05:18	8:06:45	23.1	21.44
		2	8:07:25	8:09:01	20	18
South Huangpi Road ⟶ People’s Square	1526.8	1	8:07:08	8:08:54	20	18.04
		2	8:09:21	8:11:06	26.5	18.32
People’s Square ⟶ Xinzha Road	961.2	1	8:09:14	8:10:25	—	18.04
		2	8:11:32	8:12:44	—	18.04