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Dynamic Passenger Assignment for Major Railway Disruptions Considering Information Interventions
Networks and Spatial Economics ( IF 2.4 ) Pub Date : 2019-04-30 , DOI: 10.1007/s11067-019-09467-4
Yongqiu Zhu , Rob M. P. Goverde

Passenger assignment models for major disruptions that require trains to be cancelled/short-turned in railway systems are rarely considered in literature, although these models could make a significant contribution to passenger-oriented disruption timetable design/rescheduling. This paper proposes a dynamic passenger assignment model, where the passengers who start travelling before, during and after the disruption are all considered. The model ensures that on-board passengers are given priority over waiting passengers, and waiting passengers are boarding under the first-come-first-serve rule. Moreover, the model allows information interventions by publishing information about service variations and train congestion at different locations with the aim of distributing passengers wisely to achieve less travel time increase due to the disruption. Discrete event simulation is adopted to implement the model, where loading/unloading procedures are realized and passengers re-plan their paths based on the information they receive. The model tracks individual travels, which helps to evaluate a disruption timetable in a passenger-oriented way.

中文翻译:

考虑信息干预的铁路重大中断动态旅客分配

在铁路系统中要求火车取消/转弯的重大中断的乘客分配模型在文献中很少考虑,尽管这些模型可以对面向乘客的中断时间表的设计/重新安排做出重大贡献。本文提出了一个动态的乘客分配模型,其中考虑了在中断之前,期间和之后开始旅行的乘客。该模型可确保机上乘客比等候乘客优先,并且等候乘客按照先到先得的规则上​​车。此外,该模型允许通过在不同位置发布有关服务变化和火车拥堵的信息来进行信息干预,目的是明智地分配乘客,以减少因干扰而增加的旅行时间。该模型采用离散事件模拟来实现,其中实现了上/下车程序,乘客根据接收到的信息重新规划了路径。该模型跟踪个人旅行,这有助于以面向乘客的方式评估中断时间表。
更新日期:2019-04-30
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