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作 者:陈韬[1,2,3] 谢恩雨 邱爽 蔡俊楠 CHEN Tao;XIE En-yu;QIU Shuang;CAI Jun-nan(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu Sichuan 610031,China;National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Chengdu Sichuan 610031,China;National United Engineering Laboratory of Integrated and Intelligent Transportation,Chengdu Sichuan 610031,China;China Railway Chengdu Group Co.Ltd,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]综合交通大数据应用技术国家工程实验室,四川成都610031 [3]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 [4]中国铁路成都铁路局集团有限公司,四川成都610031
出 处:《计算机仿真》2022年第12期154-159,共6页Computer Simulation
基 金:国家自然基金项目(61703351);国家重点研发计划课题(2017YFB1200702);成都局集团公司科技研究开发计划课题(CX2027)。
摘 要:为评估高铁枢纽站点线能力的协调性,运用排队论相关理论,构建了线路区间、车站咽喉、车站到发线为服务子系统的高铁枢纽点线系统多阶串联排队模型,考虑服务水平,提出了各阶服务子系统的随机概率分布模型及参数。以列车排队等待时间、排队列车数为负向指标,通过列车数为正向指标,对高铁枢纽站各阶服务子系统进行排队仿真,并运用熵权法进行点线系统的协调度计算。最后,采用实际数据进行验证。结果表明,所提方法可以为高铁枢纽站点线系统协调定量性判定提供科学依据。In order to evaluate the node and line capacity coordination of high-speed railway hub, a multi-stage queuing model of high-speed railway hub with section, station throat and arrival-departure track as service subsystems is constructed by using queuing theory. Considering the service level, the stochastic probability distribution model and parameters of each service subsystem were proposed. On the basis above, taking the waiting time and the number of trains in the queue as negative indicators and the number of trains as positive indicators, the queuing simulation of each service subsystem of high-speed railway hub station was carried out, and the coordination degree of the node-line system was calculated by using entropy weight method. Finally, the actual data were used for verification. The results show that the proposed method can provide a scientific basis for the coordinated quantitative determination of the high-speed rail hub station line system.
分 类 号:U491.5[交通运输工程—交通运输规划与管理]
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