Abstract
For subway systems, since the passenger demands frequently change in daily operation hours, the train timetable and speed profile could be correspondingly adjusted for lowering the net energy consumption. Generally speaking, for operation hours with low passenger demand, we could increase the cycle time to reduce traction energy consumption. Once the headway and cycle time at the next cycle is changed according to the predicated passenger demand, we need to adjust the timetable and speed profile accordingly.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Li X, Lo HK (2014), Energy minimization in dynamic train scheduling and control for metro rail operations, Transportation Research Part B, 70: 269-284.
Pascoe R, Eichorn T (2009), What is communication-based train control? IEEE Vehicular Technology Magazine, 4(4): 16–21.
Wang H, Yu F, Zhu L, Tang T, Ning B (2014), Finite-state Markov modeling for wireless channels in tunnel communication-based train control systems, IEEE Transactions on Intelligent Transportation Systems, 15(3): 1083-1090.
Howlett PG, Pudney PJ (1995), Energy-Efficient Train Control, New York, Springer-Verlag.
Khmelnitsky E (2000), On an optimal control problem of train operation, IEEE Transactions on Automatic Control, 45(7): 1257–1266.
Boyd S, Vandenberghe L (2004), Convex Optimization, Cambridge University Press.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Li, X., Yang, X. (2020). Dynamic Speed Control and Timetable Optimization. In: Subway Energy-Efficient Management. Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-15-7785-7_6
Download citation
DOI: https://doi.org/10.1007/978-981-15-7785-7_6
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-7784-0
Online ISBN: 978-981-15-7785-7
eBook Packages: Economics and FinanceEconomics and Finance (R0)