[1]YIN J T, REN X L, SU S, et al. Resilience-oriented train
rescheduling optimization in railway networks: A mixed
integer programming approach[J]. IEEE Transactions on
Intelligent Transportation Systems, Institute of Electrical
and Electronics Engineers, 2023, 24(5): 4948-4961.
[2]徐培娟,张大伟,彭辉,等.多类干扰下的高铁列车运行调整优化模型[J]. 铁道科学与工程学报,2021,18(7): 1723-1731. [XU P J, ZHANG D W, PENG H, et al.
Trains rescheduling for high-speed railway under the
influence of multi-disturbances[J]. Journal of Railway
Science and Engineering, 2021, 18(7): 1723-1731.]
[3]JOSYULA S P, KRASEMANN J T, LUNDBERG L.
Parallel computing for multi-objective train rescheduling
[J].
IEEE Transactions on Emerging Topics in
Computing, Institute of Electrical and Electronics
Engineers, 2021, 9(4): 1683-1696.
[4]HASSANNAYEBI E, SAJEDINEJAD A, KARDANNIA
A, et al. Simulation-optimization framework for train
rescheduling in rapid rail transit[J]. Transportmetrica B:
Transport Dynamics, 2020, 9(1): 343-375.
[5]KUMAR N, MISHRA A. A multi-objective and
dictionary-based checking for efficient rescheduling
trains[J]. Alexandria Engineering Journal, 2021, 60(3):
3233-3241.
[6]YUE P, JIN Y C, DAI X W, et al. Reinforcement learning
for online dispatching policy in real-time train timetable
rescheduling[J]. IEEE Transactions on Intelligent
Transportation Systems, Institute of Electrical and
Electronics Engineers, 2024, 25(1): 478-490.
[7]BAO K, LU S F, XUE F, et al. Optimization for train
speed trajectory based on pontryagin's maximum
principle[C]//Yokohama: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC),
IEEE, 2017.
[8]YING P R, ZENG X Q, SONG HF, et al. Energy-efficient
train operation with steep track and speed limits: A novel
pontryagin's maximum principle-based approach for
adjoint variable discontinuity cases[J]. IET Intelligent
Transport Systems, 2021, 15(9): 1183-1202.
[9]汤力成.考虑ATO控制策略的城轨列车推荐速度曲线优化[D]. 北京: 北京交通大学, 2018. [TANG L C.Optimization of recommended speed curve considering
ATO control strategy for urban rail transit[D]. Beijing:
Beijing Jiaotong University, 2018.]
[10] CAO Y, ZHANG Z X, CHENG F L, et al. Trajectory
optimization for high-speed trains via a mixed integer
linear programming approach[J]. IEEE Transactions on
Intelligent Transportation Systems, Institute of Electrical
and Electronics Engineers, 2022, 23(10): 17666-17676.
[11] YIN M J, LI K, CHENG X Q. A review on artificial
intelligence in high-speed rail[J]. Transportation Safety
and Environment, 2020, 2(4): 247-259.
[12] SANDIDZADEH M A, HAVAEI P. A comprehensive
study on reinforcement learning application for train
speed profile optimization[J]. Multimedia Tools and
Applications, 2023, 82(24): 37351-37386.
[13]杨欣.面向节能的城市轨道交通列车运行图优化研究[D]. 北京: 北京交通大学,2017. [YANG X. Research on
train timetable optimization for energy-saving operations
in urban rail transit[D]. Beijing: Beijing Jiaotong
University, 2017.]
[14]王荣笙.面向多层域的高速铁路调度控制一体化研究[D]. 北京: 中国铁道科学研究院, 2024. [WANG R S.
Multi-layer-oriented integration of train rescheduling and
control for high-speed railways[D]. Beijing: China
Academy of Railway Sciences, 2024.]
[15]龙思慧.高速铁路列车运行调整与控制一体化优化模型与算法[D]. 北京:北京交通大学,2022. [LONG S H.
Models and algorithms for the integrated optimization of
train rescheduling and train control for high-speed
railway [D]. Beijing: Beijing Jiaotong University, 2022.]
[16]代学武, 程丽娟,崔东亮,等.基于强化学习的高速列车群运行调整方法[J].中国科学:信息科学,2022,52(5): 890-906. [DAI X W, CHENG L J, CUI D L, et al.
Rescheduling of high speed trains: A reinforcement
learning approach[J]. Scientia Sinica Informationis,
2022, 52(5): 890-906.]
[17] YIN J T, CHEN D W, LI L X. Intelligent train operation
algorithms for subway by expert system and
reinforcement learning[J]. IEEE Transactions on
Intelligent Transportation Systems, 2014, 15(6): 2561
2571.
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