Overcoming Capacity Constraints - A Simulation Integrated with Optimisation for Nodes (OCCASION)

克服容量限制 - 与节点优化集成的模拟（场合）

• 批准号: EP/I010777/1
• 负责人: Jonathan Preston
• 金额: $ 41.69万
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FI010777%2F1
• 关键词: Overcoming; Capacity; Constraints; Simulation; Integrated

The OCCASION project brings together the University of Southampton's expertise in railway simulation and control (Transportation Research Group) with more generic expertise in operational research (Centre for Operational Research, Management Science and Information Systems). This project will identify and assess innovative approaches to overcoming nodal capacity constraints by examining the scope for technological improvements and operational changes. Although the emphasis is on modelling, it will also cover technological and operational issues. This will include examination of incremental changes, such as improved design of points, changes in signal spacing and overlaps, but also more radical changes including concepts from other modes (e.g. intelligent speed adaptation) and a relaxation of the Rules of the Route/Plan. We will adopt a layered approach by examining nodes of increasing complexity on the South West Main Line before developing a detailed case study of Reading station and its approaches. Our methodology will consist of four main elements. Firstly, we will provide a state of the art review which will examine how nodal capacity problems have been tackled to date in Britain and overseas. We will also examine systematic approaches to innovative problem solving, as proposed by the TRIZ methodology and general systems theory. Second, we will develop a generic meso-level model and simulation tool, based on RailSys, which will determine train routeings and schedules, levels of disruption and reactionary delay and measures of capacity utilisation at nodes. Third, we will develop a micro-level optimisation by applying production scheduling techniques to rail scheduling, and by specifically investigating shifting bottleneck procedures and local search approaches. Fourth, we will integrate the simulation and optimisation models by using a multi-commodity integer programming formulation to examine cost versus service quality trade-offs, using techniques we have previously applied to rail freight. This will be used to determine the most effective technological solutions (including enhancements to signalling, switches and crossings) and operational solutions (including dynamic traffic management). In undertaking this work, we will be assisted by our industrial partners, Arup (operations) and Balfour Beatty Rail (technology). Arup will also use the Legion simulation model to determine the extent that pedestrian movements within the station may constrain the scheduling of trains through the station. Our key outputs will be prototype software tools that will assess the extent to which nodal capacity can be increased. This could be subsequently applied to other bottlenecks on the National Rail network. An advice guide would also be produced on measures to overcome capacity constraints at nodes.

OCCASION项目将南安普顿大学在铁路模拟和控制方面的专门知识（运输研究小组）与在业务研究方面的更一般的专门知识（业务研究、管理科学和信息系统中心）结合在一起。该项目将通过审查技术改进和业务变化的范围，确定和评估克服节点能力限制的创新办法。虽然重点是建模，但也将涵盖技术和运营问题。这将包括检查增量变化，例如改进点的设计，信号间距和重叠的变化，以及更根本的变化，包括其他模式的概念（例如智能速度适应）和放宽路线/计划的规则。在对阅读站及其方法进行详细的案例研究之前，我们将采用分层方法，检查西南干线上日益复杂的节点。我们的方法将包括四个主要要素。首先，我们将提供一个最先进的审查，将审查如何节点容量问题已经解决了在英国和海外的日期。我们还将研究创新问题解决的系统方法，如TRIZ方法论和一般系统理论所提出的。其次，我们将开发一个通用的中间层模型和仿真工具，基于RailSys，这将确定列车路线和时间表，中断和反应性延误的水平和节点的能力利用率的措施。第三，我们将开发一个微观层面的优化应用生产调度技术，铁路调度，并通过专门调查转移瓶颈程序和本地搜索方法。第四，我们将集成的模拟和优化模型，使用多商品整数规划制定检查成本与服务质量的权衡，使用我们以前应用于铁路货运的技术。这将用于确定最有效的技术解决方案（包括增强信号、道岔和交叉口）和运营解决方案（包括动态交通管理）。在开展这项工作时，我们将得到我们的工业合作伙伴奥雅纳（运营）和Balfour Beatty Rail（技术）的协助。奥雅纳还将使用军团模拟模型来确定车站内的行人流动可能会限制火车通过车站的调度的程度。我们的主要成果将是原型软件工具，用于评估节点容量可以增加的程度。这可以随后适用于国家铁路网的其他瓶颈。还将编制一份关于克服节点能力限制的措施的咨询指南。

项目成果

Capacity utilisation and performance at railway stations

• DOI: 10.1016/j.jrtpm.2017.08.003
• 发表时间: 2017-12-01
• 期刊: JOURNAL OF RAIL TRANSPORT PLANNING & MANAGEMENT
• 影响因子: 3.7
• 作者: Armstrong, John;Preston, John
• 通讯作者: Preston, John

Scheduling Trains to Maximise Railway Junction and Station Capacity

调度列车以最大限度地提高铁路枢纽和车站的容量

• 期刊: International Conference on Advanced Systems for Public Transport
• 作者: John Armstrong (Author)

Evaluating Capacity Utilisation and its Upper Limites at Railway Nodes

评估铁路节点的容量利用率及其上限

• 发表时间: 2015
• 作者: Armstrong, J.

Developing a CUI-based approach to network capacity assessment

• 发表时间: 2011-02
• 作者: J. Armstrong;S. Blainey;J. Preston;Ian Hood

A cycle-based evolutionary algorithm for the multi-commodity network design model

多商品网络设计模型的基于循环的进化算法

• 期刊: 5th International Workshop on Freight Transportation and Logistics
• 作者: D Paraskevopoulos (Author)