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Tabl e 3.
Train operation indicators under time-ecient and optimized modes
Operation
mode
Running
time(s)
Energy
consump-
tion(KWh)
Coasting position(m)
X1 X2 X3
Time-
ecient
2216
95.93
Optimized
231.7
69.47
825 13632297
7Con lu on
This paper proposed an optimization for train operation by selecting reason-
able coasting point to reduce energy consumption, in which the combinatorial
optimization problem used the simulated annealing algorithm. The developed
model was applied for a particular track segment in Shanghai, in the given
specific train characteristics and constraints(e.g., track alignment, speed limit
and running time), There was a enormous decrease in energy consumption by
27.58%, At the same time, the total running time increased by 4.56%; however,
this amount of increase is negligible because total running time of the train is
allowed to increase by 5% -10% in practice. The evidence implies that the pro-
posed method shows eciency in consumption reducing and has pragmatic value
in sustainability.
An immediate extension of this study is to enhance the developed model by
investigating the impact of various track alignments and train characteristics on
energy consumption. Additionally, the effect of regenerative braking system to
the energy consumption and running time should also be taken into considera-
tion, which will make the model more practical.
References
1. Ma, C., Mao, B., Liang, X., et al.: Coast control of urban train movement for
energy eciency. Journal of Transport Information and Safety 28(2), 37-42 (2010)
2. Kim, K., Chien, S.I.-J.: Optimal train operation for minimum energy consump-
tion considering track alignment, speed limit and schedule adherence. Journal of
Transportation Engineering 137(9), 665-674 (2011)
3. Ke, B.-R., Lin, C.-L., Yang, C.-C.: Optimisation of train energy-ecient opera-
tion for mass repid transit systems. IET Intelligent Transport Systems 6(1), 58-66
(2012)
4. Ding, Y., Liu, H., Bai, Y., et al.: A two-level optimization model and algorithm
for energy-ecient urban train operation. Journal of Transportation Systems En-
gineering and Information Technology 11(1), 96-101 (2011)
5. Mao, B., He, T., Yuan, Z., et al.: A general-purposed simulation system on train
movement. Journal of the China Railway Society 2(1), 1-5 (2000)
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