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作 者:张海 倪少权[1,2,3] 陈韬[1,2,3] 邹葱聪[1,2,3] ZHANG Hai;NI Shao-quan;CHEN Tao;ZOU Cong-cong(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu Sichuan 610031,China;National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation,Southwest Jiaotong University,Chengdu Sichuan 610031,China;National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu Sichuan 610031,China)
机构地区:[1]西南交通大学交通运输与物流学院,四川成都610031 [2]西南交通大学综合交通运输智能化国家地方联合工程实验室,四川成都610031 [3]西南交通大学综合交通大数据应用技术国家工程实验室,四川成都610031
出 处:《计算机仿真》2022年第9期172-176,402,共6页Computer Simulation
基 金:国家重点研发计划资助(2017YFB1200702);国家自然基金项目(61703351,71971182);中国铁路总公司科技研究计划项目(P2018T001,P2018X001,N2018X006-01);四川省科技计划项目(2020YFH0035,2020YJ0268,2020YJ0256,2020JDRC0032)。
摘 要:轨道交通列车追踪间隔是制定及调整列车运行计划的基础,构建精确的列车追踪运行模型是研究列车追踪间隔的关键。根据列车追踪运行规律建立城市轨道交通CBTC列车追踪运行模型,采用Matlab编制程序对CBTC列车追踪运行进行仿真,设计快速迭代算法对列车追踪间隔进行求解。仿真所得列车运行曲线及相关数据与列车实际追踪运行情况一致,求解所得列车追踪间隔值与现场实际测量值一致,充分验证了模型的可用性及仿真精度。CBTC列车追踪运行模型及追踪间隔快速迭代算法可用于列车追踪运行方面的研究,为城市轨道交通运输组织优化与管理提供了理论依据。Train headway is important basis for creating and updating train running schedule of railway transportation, precise simulation model building is crucial issue to study train headway of railway transportation. This paper built an urban railway CBTC train tracking model based on train tracking regulation, carried out related simulation for urban railway CBTC trains via Matlab programming, and put forword fast iterative algorithm to solve the value of train headway. Simulation results of train operation curve and related data are in accordance with real train tracking situation, the calculated value of train headway is in accordance with onsite measurement value, which fully proves the usability and simulation accuracy of this model. This CBTC train tracking model and fast iterative algorithm can be well applied to train tracking analysis, which is the important theoretical foundation for urban railway operation optimization and management.
关 键 词:轨道交通 追踪间隔 追踪运行模型 列车运行曲线 仿真精度
分 类 号:U292.5[交通运输工程—交通运输规划与管理]
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