Impact of signalling system on capacity – Comparing legacy ATC, ETCS level 2 and ETCS hybrid level 3 systems

IF 2.6 Q3 TRANSPORTATION
Vahid Ranjbar , Nils O.E. Olsson , Hans Sipilä
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引用次数: 6

Abstract

Most railways use fixed block technology, which could be replaced with moving block technology with associated high cost. It is therefore interesting to gradually upgrade the signalling system exploiting hybrid technologies. This paper aims to investigate the impact on capacity of various signalling systems (including fixed block technology and hybrid technology) using a microscopic simulation tool under scheduled (static) conditions without considering probability functions. To perform comparative analysis between European Train Control System (ETCS) Hybrid Level 3, ETCS Level 2, and the Swedish ATC2 legacy system, three signalling system scenarios are designed and capacity consumption is considered as a performance indicator. The study was performed on the central section of Stockholm's commuter train network with peak hour conditions from the 2020 timetable. The results show that ETCS L2 delivers lower capacity consumption in total compared to the ATC2 legacy system. ETCS Hybrid Level 3 with existing trackside train detection and partially shortened block sections delivers lower capacity consumption compared to ETCS L2 and ATC2. The implementation of hybrid solutions such as ETCS Hybrid Level 3 in addition to allowing for gradual upgrading of signalling systems to the next generation (moving block system) can improve capacity of high-density commuter lines.

信号系统对容量的影响——比较传统ATC、ETCS 2级和ETCS混合3级系统
大多数铁路采用的是固定块技术,移动块技术可以替代固定块技术,但成本较高。因此,利用混合动力技术逐步升级信号系统是很有意义的。本文旨在研究在不考虑概率函数的情况下,使用微观模拟工具在预定(静态)条件下对各种信号系统(包括固定块技术和混合技术)容量的影响。为了对欧洲列车控制系统(ETCS)混合3级、ETCS 2级和瑞典ATC2遗留系统进行比较分析,设计了三种信号系统方案,并将容量消耗视为性能指标。这项研究是在斯德哥尔摩通勤列车网络的中心部分进行的,从2020年的时间表开始,在高峰时段进行。结果表明,与ATC2遗留系统相比,ETCS L2提供了更低的总容量消耗。与ETCS L2和ATC2相比,ETCS混合动力3级具有现有的轨旁列车检测和部分缩短的路段,可降低容量消耗。除了允许逐步升级下一代信号系统(移动街区系统)之外,ETCS hybrid Level 3等混合解决方案的实施可以提高高密度通勤线路的容量。
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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