Optimal bus reassignment considering in-vehicle overcrowding

IF 3.9 Q2 TRANSPORTATION
Zakir H. Farahmand , Konstantinos Gkiotsalitis , Karst T. Geurs
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引用次数: 0

Abstract

Public transport services are often designed to meet travel demand under regular situations. However, severe weather conditions (e.g., heavy rainfall, snow, thunderstorms, etc.) can adversely impact the service operation, leading to problems such as in-vehicle overcrowding, delays, and trip cancellations. In this study, we propose a novel approach to address in-vehicle overcrowding issues during weather disruptions. In this approach, we dynamically reassign buses from low-demand trips to lines where the expected demand exceeds the capacity threshold of the in-service buses. This way, the existing capacity is utilized more efficiently without requiring additional vehicles or drivers. Considering the shortage of bus drivers in Europe, as well as in the Netherlands, this is a more efficient solution than other alternatives such as deploying additional buses from the depot. Experiments were conducted on a bus network in Enschede in the Netherlands. The results showed that in several disrupted situations, we can reassign bus trips to overcome overcrowding issues without significant negative impacts on the operation or passengers. However, the approach entails a trade-off between passengers of a canceled trip and an overcrowded trip. Some passengers must wait for the next bus or use other means of transport as a consequence of bus reassignment.
考虑到车内拥挤情况的最佳巴士调配
公共交通服务通常是为满足正常情况下的出行需求而设计的。然而,恶劣的天气条件(如暴雨、大雪、雷暴等)会对服务运营造成不利影响,导致车内拥挤、延误和行程取消等问题。在本研究中,我们提出了一种新方法来解决天气中断期间的车内拥挤问题。在这种方法中,我们动态地将低需求班次的公交车重新分配到预期需求超过在用公交车容量阈值的线路上。这样,无需增加车辆或司机,就能更有效地利用现有运力。考虑到欧洲和荷兰都存在公交车司机短缺的问题,与其他替代方案(如从车库调配更多公交车)相比,这是一种更有效的解决方案。我们在荷兰恩斯赫德的公交网络上进行了实验。结果表明,在几种中断情况下,我们可以重新分配公交车班次来解决拥挤问题,而不会对运营或乘客造成重大负面影响。不过,这种方法需要在取消班次的乘客和拥挤班次的乘客之间进行权衡。一些乘客必须等待下一班车或使用其他交通工具,这是重新安排巴士班次的结果。
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
Transportation Research Interdisciplinary Perspectives
Transportation Research Interdisciplinary Perspectives Engineering-Automotive Engineering
CiteScore
12.90
自引率
0.00%
发文量
185
审稿时长
22 weeks
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