Energy-Saving Metro Train Timetable Optimization Method Based on a Dynamic Passenger Flow Distribution

Table 5

Comparison of optimization schemes between Scenario 1 and Scenario 4.

Station number	Interval running time adjustments		Dwell time adjustment, s		Station number	Interval running time adjustment, s		Dwell time adjustment, s
	Scenario 1	Scenario 4	Scenario 1	Scenario 4		Scenario 1	Scenario 4	Scenario 1	Scenario 4
1	+5	+5	—	—	44	−4	−4	—	—
2	+5	+4	+5	+3	43	−3	+2	+2	−2
3	−2	−1	0	−2	42	0	+4	−2	+5
4	−3	+2	+2	+3	41	+2	+5	−5	+2
5	+2	−1	−5	−5	40	−5	−1	−5	−4
6	−4	+5	+5	+5	39	+4	+5	+5	+2
7	+3	+1	−5	−5	38	0	−2	+5	−1
8	−1	−1	+1	+5	37	−5	+5	−2	−5
9	+5	+1	+4	+4	36	+5	−4	+4	+1
10	+3	−1	0	−5	35	−3	−5	0	−2
11	+2	−2	+5	−2	34	+5	+5	+5	+4
12	−3	+2	0	+2	33	+5	+2	+5	+5
13	−5	−5	+5	+5	32	+5	+5	+5	+5
14	+5	+3	−5	−5	31	+4	−5	−5	+5
15	+2	+2	−3	+4	30	+4	+1	−1	+5
16	−5	+5	−5	−5	29	+5	+5	−3	+5
17	+5	−1	+5	+5	28	−1	−3	+5	−5
18	+3	−1	−5	−5	27	+1	−1	−3	−2
19	−2	−3	−1	−3	26	−1	+5	−1	−5
20	+2	+3	+5	−2	25	−2	−1	−5	0
21	+3	+3	+5	+5	24	+4	+4	+5	+5
22	—	—	—	—	23	—	—	—	—
Total	+20	+20				+20	+20