ANALYSIS OF TEMPORAL FACTORS INFLUENCING MINIMUM DWELL TIME DISTRIBUTIONS

Timothy Pedersen, T. Nygreen, A. Lindfeldt
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引用次数: 6

Abstract

The minimum dwell time is an important part of railway timetable planning. Due to its stochastic behaviour, the minimum dwell time should be considered to create resilient timetables. While there to our knowledge has been significant focus on how to determine and estimate dwell times, little research has been carried out regarding temporal and running direction variations of these. In this paper we examine how the minimum dwell time varies depending on temporal factors such as the time of the day, day of the week and time of the year. We also examine how it is affected by running direction and station type. The minimum dwell time is estimated by means of track occupation data. A method is proposed to ensure that only minimum dwell times and not planned dwell times are acquired from the track occupation data. The results show that on an aggregated level, the average minimum dwell times in both running directions at a station are similar. However, when temporal factors are considered, there are significant variations. The minimum dwell time varies throughout the day with peak hours having the longest dwell times. It is also found that the minimum dwell times are influenced by weekday, and in particular weekends are found to have lower minimum dwell times than most other days. The findings show that there is a potential to significantly improve timetable planning by taking minimum dwell time variations into account.
影响最小停留时间分布的时间因素分析
最小停留时间是铁路时刻表规划的重要组成部分。由于其随机特性,应考虑最小停留时间来创建弹性时间表。据我们所知,如何确定和估计停留时间一直是人们关注的焦点,但关于停留时间和运行方向变化的研究却很少。在本文中,我们研究了最小停留时间如何根据时间因素而变化,例如一天中的时间,一周中的一天和一年中的时间。我们还研究了运行方向和站点类型对其的影响。通过轨道占用数据估计最小停留时间。提出了一种从航迹占用数据中只获取最小停留时间而不获取计划停留时间的方法。结果表明,在总体水平上,同一车站两个运行方向上的平均最小停留时间是相近的。然而,当考虑到时间因素时,会有显著的变化。最小停留时间在一天中变化,高峰时间有最长的停留时间。研究还发现,最小停留时间受到工作日的影响,特别是周末的最小停留时间比其他大多数日子都要低。研究结果表明,考虑到最小停留时间变化,有可能显著改善时间表规划。
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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