Developing a CUI-based approach to network capacity assessment
Developing a CUI-based approach to network capacity assessment
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发表时间：
2011-02
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通讯作者：
J. Armstrong;S. Blainey;J. Preston;Ian Hood
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作者：
J. Armstrong;S. Blainey;J. Preston;Ian Hood
铁路运输能力是一种日益稀缺和宝贵的商品。提供额外能力的费用相应较高，因此必须尽可能充分利用现有基础设施提供的现有和潜在能力，必要时进行成本最低的小规模改造。详细的网络模拟模型可用于对列车服务性能进行网络范围的评估，并包括诸如UIC 406方法所提供的功能，以提供容量利用率的测量，尽管这应该严格地仅应用于链路（即节点之间的线路部分），而不是交叉点或车站。类似的限制也适用于英国使用的更简单的能力利用指数（CUI）方法，该方法基于路线而不是信号块、路段，因此“将规划规则”中为路线路段规定的最小车头时距映射到线路上”。本文介绍了CUI方法从线路到网络节点的扩展，其基础是在交叉点使用最小“交叉点裕度”代替车头时距，以及在车站使用最小站台重新占用时间（从非常简单的布局到极其复杂的布局）。使用这种简化的容量分析方法的优点是能够快速评估与一系列基础设施和时间表组合相关的网络范围的容量利用率水平，允许评估大范围的初步选项，并确定最有希望的选项并进行详细的模拟和分析。
Railway capacity is an increasingly scarce and valuable commodity. The provision of additional capacity is correspondingly expensive, and it is therefore important to make the best possible use of the current and potential capacity provided by the existing infrastructure, making least-cost, minor modifications where necessary. Detailed network simulation models are available to perform network-wide assessments of train service performance, and include functionality such as that provided by the UIC 406 methodology to provide a measure of capacity utilisation, although this should strictly only be applied to links (i.e. sections of line between nodes), and not to junctions or stations. Similar restrictions apply to the simpler Capacity Utilisation Index (CUI) approach used in Britain, which is based on route, rather than signal block, sections, and thus „maps onto‟ the minimum headways specified for route sections in the timetabling „Rules of the Plan‟. This paper describes the extension of the CUI methodology from links to network nodes, based upon the use at junctions of minimum „junction margins‟ in place of headways, and the use of minimum platform re-occupation times at stations (which can vary from very simple to extremely complex layouts). The use of this simplified means of capacity analysis has the advantages of enabling the rapid assessment of the network-wide levels of capacity utilisation associated with a range of infrastructure and timetable combinations, allowing a large range of preliminary options to be assessed, and the most promising to be identified and taken forward for detailed simulation and analysis.