Advanced Mathematics and Numerical Modeling of IoT

0.000140

0.000138

0.000136

0.000134

0.000132

0.000130

0.000128

0.000126

Fitness

Generation

04080 120 160 200 240 280

Fitness

(a)

0.000140

0.000138

0.000136

0.000134

0.000132

0.000130

0.000128

0.000126

Fitness

Generation

Fitness

0 20 40 60 80 100 120 140

(b)

Figure 5: Evolutionary curve of E2 (left) and E3 (right).

2000

1500

1000

500

0

−500

200

150

100

50

0

−50

450

400

350

300

250

200

150

100

50

30

20

10

80 130 160 280 330

F F HH

0.0 0.0 0.0 0.0

460

−1.3 550

690

1.01.0

266400 1100

19.4 2100 −6.3 850 6.7 950 5.2 1550 1950 −6.2 3200 2.5 1200 1.2 1450 2300 −1.2 3.5 1200 1450

0 12345 678 910111213 14 15 16

350

17 18 19 20 21 22

0.0

(A) (km/h) (min)

Cross-sectionalview

Longitudinal

Curve

view

Speed

Electric current

Speed limit

Power

R400

L125

R460

L461

R800

L1000

R9000 R4500

L1000

R10000

L549

R4000

L4719

R3500

L653 L526

Figure 6: Result of normal specified time running strategy.

Table 3: Railways line parameters and units.

Distance Gradient Altitude Slope
length

Curve

position

Curve

radius

Curve

length

Station Speed

limit

Tunnel

position

Bridge

position

Others

km ‰ m mkmm mkm km/h km km —

Table 4: Comparison of running results.

Rail line Section length Running strategy Time set Actual running time Energy consumption

Beijing-Langfang 59.5 km Fastest — 16 min 32 s 3957.7 kwh
Beijing-Langfang with SGA 59.5 km Specified time 20 min 00 s 19 min 59 s 3252.4 kwh

Beijing-Langfang with PMPGA 59.5 km Specified time with GA 20 min 00 s 20 min 00 s 3247.2 kwh