[1] LI C, WANG XM. An ATO control strategy based onparticle swarm optimization [J]. Journal of the ChinaRailway Society, 2017, 39(3): 53-58 (in Chinese).
[2] YANG C X, LIU L, WANG C L. Optimization of highspeedtrain speed curve based on genetic algorithm [J].Railway Computer Application, 2012, 21(1): 9-12 (inChinese).
[3] MENG J J, YIN M, QI W Z, et al. Optimization oftracing target curve of high speed train ATO basedon genetic algorithm [J]. Computer Engineering andApplications, 2016, 52(21): 247-251 (in Chinese).
[4] LUO R S, WANG Y H, YU Z Y, et al. Adaptive stoppingcontrol of urban rail vehicle [J]. Journal of theChina Railway Society, 2012, 34 (4): 64-68 (in Chinese).
[5] JIA L M, ZHANG X D, XIE Z T. Automatic traincontrol—an intelligent approach [C]//Proceedings ofIEEE on Tencon 93 Computer Communication. Beijing:IEEE, 1993, 4(4): 338-342.
[6] KIM K, CHIEN S. Optimal train operation for minimumenergy consumption considering track alignment,speed limit, and schedule adherence [J]. Journal ofTransportation Engineering, 2011, 137(9): 665-674.
[7] TANG H C, DICK C T, FENG X Y. A coordinatedtrain control algorithm to improve regenerative energyreceptivity in metro transit systems [C]//Proceedingsof Transportation Research Board 94th Annual Metting.Washington: Transportation Research Board,2015, 15(1): 13-18.
[8] LEI D M, YAN X P. Multiple objective intelligent optimizationalgorithms and application [M]. Beijing: SciencePress, 2009 (in Chinese).
[9] DEB K, PRATAP A, AGARWAL S, et al. A fastand elitsit multiobjective genetic algorithm: NSGA-II[J]. IEEE Transactions on Evolutionary Computation,2002, 6(2): 182-197.
[10] GAO B, DONG H R, NING B. Speed control algorithmfor automatic train operation systems [J]. ComputatinalIntelligenceand Software Engineering, 2009,120(4): 1-4.
[11] LARRANAGA M, ANSELMI J, AYESTA U, et al.Optimization techniques applied to railway systems[J]. Basque Center for Applied Mathematics, 2013,1(24): 27-45.
[12] ZHAO N, ROBERTS C, HILLMANSEN S, et al. Amultiple train trajectory optimization to minimize energyconsumption and delay [J]. IEEE Transactions onIntelligent Transportation Systems, 2015, 16(5): 2363-2372.
[13] ZHAO W T, GAO C H. A new control methd of automatictrain operation in urban rail transit basedon improved generalized predictive control theroy[C]//Proceedings of the 2013 Interational Conferenceon Electrical and Information Technologies for RailTransportation. Changchun: Interational Conferenceon Electrical and Information Technologies for RailTransportation, 2014, 56(287): 567-573.
[14] LI G Y, YANG L J. Neural, fuzzy, predictive controland its realization [M]. Beijing: Electronic IndustryPress, 2013 (in Chinese).
[15] LU Q H, FENG X Y, WANG Q Y. Energy-saving optimalcontrol of following trains based on genetic algorithm[J]. Journal of Southwest Jiaotong University,2012, 47(2): 265-270 (in Chinese).
[16] YAO L. Research on optimization of automatic trainoperation system based on intelligent control algorithm[D]. Beijing, Beijing Jiaotong University, 2009(in Chinese).
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