Capacity evaluation of ERTMS/ETCS hybrid level 3 using simulation methods

IF 2.6 Q3 TRANSPORTATION
Daniel Knutsen , Nils O.E. Olsson , Jiali Fu
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引用次数: 0

Abstract

This paper evaluates the capacity effect of ERTMS/ETCS Hybrid Level 3 (HL3, also known as Hybrid Train Detection, HTD) on a conceptual level by looking at a scenario with two trains and on a network level. Key performance indicators help evaluate the results of implementing HL3: headway for the conceptual model and capacity utilization and punctuality for the network level. The study uses the simulation tool RailSys for both levels. A case study on the interaction between two trains examines how various lengths of virtual blocks affect the performance indicator headway. The network scale simulations use a real-world infrastructure and a complete timetable. Two cases examine how the performance indicators capacity utilization and punctuality are affected by the share of Level 2 and Level 3 trains in a HL3 system. Results from the conceptual two-train interaction show that HL3 slightly improves the headway, but it is similar for varying virtual block lengths. The results from the network model indicate the share of Level 2 and Level 3 trains has minimal effect on punctuality and capacity utilization. However, we identified some factors influencing the HL3 capacity evaluation, like stations and switches on the line, that affect the potential capacity gains.

使用模拟方法对 ERTMS/ETCS 混合第 3 级进行容量评估
本文通过考察两列列车的情况,在概念层面和网络层面评估了 ERTMS/ETCS 混合 3 级(HL3,又称混合列车检测,HTD)的运力效果。关键性能指标有助于评估 HL3 的实施结果:概念模型中的正点率以及网络级别中的运力利用率和正点率。这项研究在两个层面上都使用了仿真工具 RailSys。关于两列列车之间互动的案例研究探讨了不同长度的虚拟区间对性能指标 "班次间隔 "的影响。网络规模的模拟使用了真实世界的基础设施和完整的时刻表。两个案例研究了在 HL3 系统中,二级和三级列车的比例如何影响性能指标容量利用率和准点率。概念性双列车互动的结果表明,HL3 略微改善了班次间距,但在虚拟区间长度不同的情况下,效果类似。网络模型的结果表明,二级和三级列车的比例对正点率和容量利用率的影响微乎其微。然而,我们发现了一些影响 HL3 容量评估的因素,如线路上的车站和开关,它们会影响潜在的容量增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.10
自引率
8.10%
发文量
41
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