Gate Assigment and Fleet Sizing of Apron Buses including social distancing metrics in an international airport using discrete event simulation.

E. López, I. Rasovska, Virginie Goepp, F. Marmier
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Abstract

The COVID - 19 pandemic has impacted the aeronautical industry demanding new conditions in the transfer of passengers on air flights. These new conditions involve ensuring that passengers can maintain an adequate distance to minimize the chances of contagion. This implies that airports can resize their resources to meet these conditions. It is critical to be able to keep social distancing in the passenger boarding and unboarding processes, then the apron buses and gates used in these processes becomes critical. The bus fleet sizing needs to be calculated considering passengers needs to keep social distancing in their travel from and to the aircrafts. In a similar way gates need to be assigned considering a reduction in the use of neighboring doors to reduce the number of passengers in the same waiting room. The complexity of this problem lies in being able to incorporate the social distancing as an action parameter to obtain adequate solutions in the context of sizing the apron bus fleet and assigning doors. The contagion risk becomes an indicator related to social distancing in the position and movements made in the apron buses. So, it is proposed to incorporate these conditions in a simulation model that allows obtaining the estimation of the apron bus fleet and the allocation of gates as a result while showing the contagion risk as a decision parameter.
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基于离散事件模拟的国际机场停机坪巴士登机口分配和机队规模,包括社会距离指标。
2019冠状病毒病大流行对航空业造成了影响,对航班上的乘客中转提出了新的要求。这些新条件包括确保乘客能够保持足够的距离,以尽量减少传染的机会。这意味着机场可以调整其资源以满足这些条件。在乘客上下机过程中保持社交距离至关重要,因此在这些过程中使用的停机坪巴士和登机口变得至关重要。考虑到乘客在往返飞机的过程中需要保持社交距离,需要计算巴士的规模。同样,需要考虑到相邻门的使用减少,以减少同一候车室的乘客数量来分配门。这个问题的复杂性在于能够将社交距离作为一个行动参数,以在确定停机坪车队规模和分配车门的背景下获得适当的解决方案。在停机坪巴士的位置和动作上,传染风险成为与社会距离相关的指标。因此,建议将这些条件合并到一个仿真模型中,该模型允许在将传染风险显示为决策参数的同时获得停机坪巴士车队的估计和门的分配结果。
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