[1] 庄河, 何世伟, 戴杨铖. 高速铁路列车运行调整的模型及其策略优化方法[J]. 中国铁道科学, 2017, 38(2): 118-126. Zhuang He, He Shiwei, Dai Yangcheng.Train Operation Adjustment Model and Strategy Optimization Method for High Speed Railway[J]. China Railway Science, 2017, 38(2): 118-126. [2] 张友兵, 张波. 高速列车制动曲线的计算与验证[J]. 兰州交通大学学报, 2012, 31(4): 97-103. Zhang Youbing, Zhang Bo.The Calculation and Verification of the High Speed Train Braking Curve[J]. Journal of Lanzhou Jiaotong University, 2012, 31(4): 97-103. [3] 贺广宇, 郜新军, 李一楠, 等. 基于列控车载设备制动曲线的高速列车牵引计算平台[J]. 中国铁道科学, 2020, 41(1): 108-114. He Guangyu, Gao Xinjun, Li Yinan, et al.Traction Calculation Platform of High-Speed Train Based on Braking Curve of Train Control Onboard Equipment[J]. China Railway Science, 2020, 41(1): 108-114. [4] 蒋志飞. 高速动车组制动过程建模及控制器设计[D]. 南昌: 华东交通大学, 2016. Jiang Zhifei.EMU Braking Process Modeling and Controller Design[D]. Nanchang: East China Jiaotong University, 2016. [5] 李中奇, 杨辉, 刘明杰, 等. 高速动车组制动过程的建模及跟踪控制[J]. 中国铁道科学, 2016, 37(5): 80-86. Li Zhongqi, Yang Hui, Liu Mingjie, et al.Modeling and Tracking Control for Braking Process of High Electric Multiple Unit[J]. China Railway Science, 2016, 37(5): 80-86. [6] 纪云霞. 列车节能运行优化的改进遗传算法研究[D].成都: 西南交通大学, 2018. Ji Yunxia.Study on Improved Genetic Algorithm for Train Energy-Saving Operation Optimization[D]. Chengdu: Southwest Jiaotong University, 2018. [7] 麻存瑞. 高速列车节能运行操纵策略优化方法研究法研究[D]. 北京: 北京交通大学, 2019. Ma Cunrui.Optimization Method of Energy-Saving Operation Strategy for High-speed Trains[D]. Beijing: Beijing Jiaotong University, 2019. [8] 王肖玉. 考虑状态受限的多列车追踪运行自适应控制算法研究[D]. 北京: 北京交通大学, 2018. Wang Xiaoyu.Cooperative Multi-train Control Algorithms under Restricted States[D]. Beijing: Beijing Jiaotong University, 2018. [9] 杨永辉. 基于多模型的高速列车巡航运行控制研究[D]. 南昌: 华东交通大学, 2018. Yang Yonghui.Multi-model Based Cruise Control for High-speed Train[D]. Nanchang: East China Jiaotong University, 2018. [10] 朱子轩, 鲁工圆, 何必胜. 单线铁路网络列车运行智能调度仿真研究[J]. 计算机仿真, 2019, 36(5): 194-201. Zhu Zixuan, Lu Gongyuan, He Bisheng.Simulation Research on Intelligent Dispatching of Train Operation on Single-track Railway Network[J]. Computer Simulation, 2019, 36(5): 194-201. [11] Pouryousef H, Lautala P.Hybrid Simulation Approach for Improving Railway Capacity and Train Schedules[J]. Journal of Rail Transport Planning & Management (S2210-9706), 2015, 5(4): 211-224. [12] Chen Z, Han B M. Simulation Study Based on OpenTrack on Carrying Capacity in District of Beijing-Shanghai High-Speed Railway[J]. Applied Mechanics & Materials (S1662-7482), 2014, 505/506: 567-570. [13] 李宝旭. 高寒高速铁路列车运行调整方法研究[J]. 中国铁路, 2016(8): 11-14. Li Baoxu.Adjustment of Operation of HS Trains in Extremely Cold Areas[J]. Chin Railway, 2016(8): 11-14. [14] 尚苒. 高速铁路列车追踪运行节能优化研究[D]. 兰州: 兰州交通大学, 2018. Shang Ran.Study on Energy-saving Optimization of Tracking Operation of High-speed Railway Trains[D]. Lanzhou: Lanzhou Jiaotong University, 2018. [15] TB/T 1407-1998, 列车牵引计算规程[S]. 北京: 铁道部科学研究院机车车辆研究所, 1998. TB/T 1407-1998, Regulations on Railway Train Traction Calculation[S]. Beijing: Locomotive and Car Research Institute, China Academy of Railway Science, 1998. [16] 孟建军, 陈晓强, 胥如迅. 基于多质点的城轨列车牵引计算分析与仿真[J]. 系统仿真学报, 2015, 27(3): 603-608. Meng Jianjun, Chen Xiaoqiang, Xu Ruxun.Traction Calculation Analysis and Simulation of Urban Rail Train on Multi-particle Model[J]. Journal of System Simulation, 2015, 27(3): 603-608. [17] 周远航, 张巍, 孙可. 基于地铁列车进站环境振动效应的ATO控制策略[J]. 地下空间与工程学报, 2017, 13(增2): 270-278. Zhou Yuanhang, Zhang Wei, Sun Ke.ATO Control Strategy Based on Response of Ambient Vibrating Effect Induced by Subway-train Entering Station[J]. Chinese Journal of Underground Space and Engineering, 2017, 13(S2): 270-278. [18] 李荣雨, 王颖. 基于莱维飞行的改进粒子群算法[J]. 系统仿真学报, 2017, 29(8): 1685-1691, 1701. Li Rongyu, Wang Ying.Improved Particle Swarm Optimization Based on Lévy Flights[J]. Journal of System Simulation, 2017, 29(8): 1685-1691, 1701. [19] 严细辉. 面向节能的高速列车速度自动控制优化方法研究[D]. 北京: 北京交通大学, 2016. Yan Xihui.Energy-saving Oriented Optimization Method for Automatic Train Speed Control in High-Speed Railway[D]. Beijing: Beijing Jiaotong University, 2016. [20] Gong Y J, Li J J, Zhou Y, et al.Genetic Learning Particle Swarm Optimization[J]. IEEE Transactions on Cybernetics (S2168-2267), 2016, 46(10): 2277-2290. |