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Rolling stock rescheduling in passenger railway transportation using dead-heading trips and adjusted passenger demand

机译:使用无固定行程和调整的乘客需求来调整铁路客运中的机车车辆

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In this paper we introduce dead-heading trips and adjusted passenger demand in the Rolling Stock Rescheduling Problem (RSRP). Unfortunately, disruptions disturb passenger railway transportation on a daily basis. Such a disruption causes infeasibilities in the timetable, rolling stock circulation, and crew schedule. We propose a Mixed-Integer Linear Programming model to tackle the RSRP. This formulation includes the possibility of using dead-heading trips (moving empty trains) during, and after, a disruption. Furthermore, passenger flows are included to handle the adjusted passenger demand after the occurrence of a disruption. Many rolling stock rescheduling models are unable to cope with changing passenger demand. In this paper we include passenger demand on a more accurate level in the RSRP. We have tested the model on different cases from Netherlands Railways. The results show that dead-heading trips are useful to reduce the number of cancelled trips and that adjusted passenger demand has a large influence on the rescheduled circulation. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在本文中,我们在机车改期问题(RSRP)中介绍了无头旅行和调整后的乘客需求。不幸的是,干扰每天都干扰铁路客运。这样的中断导致时间表,机车车辆流通和机组人员时间表的不可行。我们提出了一种混合整数线性规划模型来解决RSRP。这种表述包括在中断期间和中断之后使用无头旅行(移动空火车)的可能性。此外,还包括客流,以在发生干扰后处理调整后的客运需求。许多机车车辆改期模型无法应对不断变化的乘客需求。在本文中,我们在RSRP中包括了更准确的乘客需求。我们已经在荷兰铁路的不同案例中测试了该模型。结果表明,无头旅行对减少被取消的旅行的数量是有用的,并且调整后的乘客需求对改期的循环有很大的影响。 (C)2017 Elsevier Ltd.保留所有权利。

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