Abstract
With the accelerated urbanization in China, passenger demand has dramatically increased in large cities, and traffic congestion has become serious in recent years. Developing public urban rail transit systems is an indispensable approach to overcome these problems. However, the high energy consumption of daily operations is an emerging issue due to increased rail transit networks and passenger demands. Thus, reducing the energy consumption and operational cost by using advanced optimization methodologies is an urgent task for operation managers. This work systematically introduces energy-saving approaches for urban rail transit systems in three aspects, namely, train speed profile optimization, utilization of regenerative energy, and integrated optimization of train timetable and speed profile. Future research directions in this field are also proposed to meet increasing passenger demands and network-based urban rail transit systems.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Change history
28 June 2019
An Erratum to this paper has been published: https://doi.org/10.1007/s42524-019-0047-y
28 June 2019
A Correction to this paper has been published: https://doi.org/10.1007/s42524-019-0047-y
References
Allegre A L, Bouscayrol A, Delarue P, Barrade P, Chattot E, El-Fassi S (2010). Energy storage system with supercapacitor for an innovative subway. IEEE Transactions on Industrial Electronics, 57(12): 4001–4012
Chang C S, Sim S S (1997). Optimizing train movements through coast control using genetic algorithms. IEE Proceedings-Electric Power Applications, 144(1): 65–73
Gu Q, Tang T, Cao F, Song Y D (2014). Energy-efficient train operation in urban rail transit using real-time traffic information. IEEE Transactions on Intelligent Transportation Systems, 15(3): 1216–1233
Howlett P G, Milroy I P, Pudney P J (1994). Energy-efficient train control. Control Engineering Practice, 2(2): 193–200
Huang Y R, Yang L X, Tang T, Gao Z Y, Cao F, Li K P (2018). Train speed profile optimization with on-board energy storage devices: A dynamic programming based approach. Computers & Industrial Engineering, 126: 149–164
Ichikawa K (1968). Application of optimization theory for bounded state variable problems to the operation of train. Bulletin of the JSME, 11(47): 857–865
Ke B R, Chen M C, Lin C L (2009). Block-layout design using MAX-MIN ant system for saving energy on mass rapid transit systems. IEEE Transactions on Intelligent Transportation Systems, 10(2): 226–235
Ke B R, Lin C L, Yang C C (2012). Optimization of train energy-efficient operation for mass rapid transit systems. IET Intelligent Transport Systems, 6(1): 58–66
Li X, Lo H (2014). An energy-efficient scheduling and speed control approach for metro rail operations. Transportation Research Part B: Methodological, 64: 73–89
Liu P, Yang L X, Gao Z Y, Huang Y R, Li S K, Gao Y (2018). Energy-efficient train timetable optimization in the subway system with energy storage devices. IEEE Transactions on Intelligent Transportation Systems, 19(12): 3947–3963
Liu R, Golovitcher I M (2003). Energy-efficient operation of rail vehicles. Transportation Research Part A: Policy and Practice, 37(10): 917–932
Ma C Y, Ding Y, Du P, Mao B H (2010). Study on coast control of train movement for saving energy based-on genetic algorithm. Railway Computer Application, 19(6): 4–8
Rao Z (2006). Train Traction Calculation. Beijing: China Railway Press
Wang Y (2016). Calculation of Train Operations in Urban Metro Systems. Beijing: Science Press
Yang L X, Li K P, Gao Z Y, Li X (2012). Optimizing trains movement on a railway network. Omega, 40(5): 619–633
Yang X (2016). Research on train timetable optimization for energy-saving operations in urban rail transit. Dissertation for the Doctoral Degree. Beijing: Beijing Jiaotong University
Yang X, Li X, Gao Z Y, Wang H W, Tang T (2013). A cooperative scheduling model for timetable optimization in subway systems. IEEE Transactions on Intelligent Transportation Systems, 14(1): 438–447
Yin J T, Yang L X, Tang T, Gao Z Y, Ran B (2017). Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: Mixed-integer linear programming approaches. Transportation Research Part B: Methodological, 97: 182–213
Zhao L (2014). Research on metro timetable optimization model and algorithm based on regenerative braking. Dissertation for the Master Degree. Beijing: Beijing Jiaotong University
Zhao S (2014). Research and simulation of urban rail transit super capacitor energy storage system. Dissertation for the Master Degree. ChangSha: Central South University of Forestry and Technology
Author information
Authors and Affiliations
Corresponding author
Additional information
A correction to this article is available at https://doi.org/10.1007/s42524-019-0047-y
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://doi.org/creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution, and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provided a link to the Creative Commons license, and indicate if changes were made.
About this article
Cite this article
Gao, Z., Yang, L. Energy-saving operation approaches for urban rail transit systems. Front. Eng. Manag. 6, 139–151 (2019). https://doi.org/10.1007/s42524-019-0030-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s42524-019-0030-7