IEEE Electrification - September 2019 - 75

operational management mode of high-speed trains,
this article concluded that high-speed trains' energy
consumption is at its greatest during the operation
stage of the equipment's life cycle. By analyzing the
composition of energy consumption in high-speed train
transportation, three effective energy-saving measures
were observed: equipment improvement, transportation organization optimization, and the application of
reasonable operational modes. The optimization methods for energy-saving processes and regenerative energy recycling of high-speed trains were discussed in the
context of Chinese, Japanese, and European railway systems. By analyzing unit per-capita energy consumption,
we concluded that the optimized operational strategies
and recycling the regenerative energy of high-speed
trains have obvious energy-saving advantages.

Prospects
Future research on transportation management and energy utilization of high-speed trains will concern the following topics.

Improving Transportation Organization
Improving transportation organization will optimize
the train organization diagram and passing ability and
improve the utilization rate of the main line. Accelerating the research and development process of the
next-generation train control system based on the
"moving block" mode can greatly reduce the driving
interval while improving the driving density and organizational efficiency of high-speed trains. It is also
imperative to overcome the safety problems in the
moving block mode.

Optimizing Energy Utilization and Consumption
Optimizing energy-saving operational controls, improving
operational efficiency, and developing an on-board system with real-time guidance functions are all important
factors to consider. The train energy-saving control strategy with a high-braking utilization rate requires further
study, as do the recovery and utilization of regenerative
energy in the full-speed range.

Speeding Up the Integration of Various Systems
Establishing an integrated transportation management
system is essential for high-speed trains. Existing and
newly developed technologies can be integrated into a
common technology platform to achieve information
resource sharing among management departments,
which will further strengthen coordination and assist
with improving scheduling and command ability.

Acknowledgment
This research was supported by Chinese National Key
Research and Development Program 2017YFB1201304-09.

For Further Reading
New Lines Programme, "Comparing environmental impact of conventional and high-speed rail," Network Rail,
London, 2003
D. Lee, I. Milroy, and K. Tyler, "Application of Pontryagin's maximum principle to the semi-automatic control of
rail vehicles," 2nd Conf. Control Engineering 1982: Merging of
Technology and Theory to Solve Industrial Automation Problems;
Preprints of Papers, Institution of Engineers, Australia, 1982,
pp. 233-236.
H. S. Hwang, "Control strategy for optimal compromise
between trip time and energy consumption in a high-speed
railway," IEEE Trans. Syst., Man, Cybern., vol. 28, no. 6, pp. 791-
802, 1998.
M. Cun-rui, M. Bao-hua, B. Yun, and W. Min, "Energy-saving operation optimization for high-speed train in multiinterstation," J. Transp. Syst. Eng. Inform. Technol., vol. 18, no. 5,
pp. 178-183, 2018.
P. Howlett, "The optimal control of a train," Ann. Oper. Res.,
vol. 98, no. 1/4, pp. 65-78, 2000.
B.-R. Ke, M.-C. Chen, and C.-L. Lin, "Block-layout design
using max-min ant system for saving energy on mass rapid
transit systems," IEEE Trans. Intell. Transp. Syst., vol. 10, no. 2, pp.
226-235, 2009.
W. Qing-yuan, F. Xiao-yun, Z. Jin-ling, and L. Zhi-cheng,
"Simulation study on optimal energy-efficient control of
high-speed train considering regenerative brake energy,"
China Railway Sci., vol. 36, no. 1, pp. 96-103, 2015.
Y. Song and W. Song, "A novel dual speed-curve optimization based approach for energy-saving operation of highspeed trains," IEEE Trans. Intell. Transp. Syst., vol. 17, no. 6, pp.
1564-1575, 2016.
A. Fernández-Rodríguez, A. Fernández-Cardador, and A. P.
Cucala, "Energy efficiency in high speed railway traffic operation: A real-time ecodriving algorithm," in Proc. IEEE Int. Conf.
Environment and Electrical Engineering, June 10-13, 2015. doi:
10.1109/EEEIC.2015.7165181.
T. Kawakami, "Dynamic power saving strategy and data
system for future Shinkansen Traffic Control," in Proc. IEEE Int.
Symp. Autonomous Decentralized Systems, March 23-23. 1999.
doi: 10.1109/ISADS.1999.838361.
W. Bao, H. Yan, Q. Zhang, and W. Li, "Research on the
transportation organization mode of Chinese high-speed railway," (in Chinese), J. Transportation Eng. Inform., vol. 14, no. 3, pp.
13-18, 2016.
A. I. Pack, J. Transportation Eng. Inform., vol. 64, no. 6, pp.
657-661, 2007.
H. Wang, K. Li, H. Liu, and L. Zhang, "Analysis on the
development trend of train operation control system technology," (in Chinese), Railway Signalling Commun., vol. 52, no. 8, pp.
1-4, 2016.
B. Sun, M. Li, and C. An, "Research on key technologies of
high-speed train energy consumption," Engineering Sci., vol. 17,
no. 4, pp. 69-82, 2015.

Biographies
Jianqiang Liu (liujq@bjtu.edu.cn) is with the School
of Electrical Engineering, Beijing Jiaotong University, China.
Junhong Tian (18121499@bjtu.edu.cn) is with the
School of Electrical Engineering, Beijing Jiaotong University, China.

	

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