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Railway Timetabling Based on Systematic Follow-up on Realized Railway Operations

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DataCite Commons2020-08-01 更新2024-07-03 收录
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https://journals.aau.dk/index.php/td/article/view/5417
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This paper shows that the use of systematic follow-up on realized railway operations has potential to improve current and future timetables. After describing the present timetabling process at the main Danish Infrastructure Manager, Rail Net Denmark, it is concluded that systematic follow-up on realized railway operations is not yet a formal integrated part of the timetabling process. As Rail Net Denmark uses timetabling guidelines from the European professional organization of infrastructure managers - Rail Net Europe – the lack of systematic follow-up may very well exist elsewhere in Europe. Following the introduction, an initial theoretical approach to systematic follow-up on realized operations is described. Focus is on identifying delay patterns in regards to individual train numbers, train categories, time periods and geography or combinations hereof. Subsequently theory is put into practice. First, the current system for collecting data on operational performance is described as well as methods on how to aggregate this. Six chosen cases are examined to cover the four focus points and combinations hereof. Detailed results are shown in Appendices 1-6. The analyses prove existing ideas about delay patterns in today’s railway operations. Finally it can be concluded that the timetabling process at Rail Net Denmark has a potential for improvements by integrating systematic follow-up on realized operations in the process. By introducing closer cooperation between timetabling and operations monitoring specialists regarding systematic analyses throughout the entire timetabling process there is a potential to improve valid and future timetables.

本研究证实,对已实际发生的铁路运营开展系统性追踪,具备优化现行及未来列车运行图的潜力。在介绍丹麦主要铁路基础设施管理者丹麦铁路网公司(Rail Net Denmark)现行的运行图编制流程后,研究得出结论:系统性追踪实际运营情况尚未正式纳入该公司运行图编制流程的一体化环节。由于丹麦铁路网公司采用欧洲铁路基础设施管理者专业协会(Rail Net Europe)制定的运行图编制规范,这种缺乏系统性追踪的现状大概率在欧洲其他地区也普遍存在。引言部分之后,本文首先阐述了针对实际运营开展系统性追踪的初步理论框架,研究重点聚焦于识别单列车次、列车类别、时段及地理区域,或上述要素组合下的晚点模式。随后将理论付诸实践:首先介绍当前用于采集运营绩效数据的系统,以及相关数据聚合方法;选取六个典型案例展开分析,以覆盖前述四大研究重点及其组合场景,详细分析结果详见附录1至附录6。分析结果验证了现有关于当前铁路运营晚点模式的相关论断。最终研究得出结论:丹麦铁路网公司的运行图编制流程可通过将实际运营系统性追踪纳入其中实现优化。通过推动运行图编制人员与运营监测专员在全流程系统性分析环节建立更紧密的协作机制,有望进一步优化现行及未来的列车运行图。
创建时间:
2020-06-03
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集是一篇2009年发表的学术论文,聚焦于通过系统跟进实际铁路运营数据来优化铁路时刻表制定过程。研究以丹麦铁路网公司为例,指出当前时刻表制定中缺乏系统跟进,并提出了理论框架和案例分析,证明该方法能识别延误模式并改进时刻表。论文强调,通过整合运营监测与时刻表制定的协作,可提升时刻表的有效性。
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