多智能体马尔可夫决策过程在门分配问题中的应用

Oussama Aoun, A. E. Afia
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引用次数: 7

摘要

登机口分配问题(GAP)是机场管理中保证交通顺畅运行的一个重要课题。然而,航班计划可能会经历一些随机事件,如经常发生的延误,必须在计划中加以考虑。我们的方法将登机口的表示视为协作代理,试图完成中央控制器给出的一组航班分配任务。这将允许为基于多智能体马尔可夫决策过程(MMDP)的GAP提供一个新的模型。这项工作的目的是为机场的管制员提供一个强大的先验解决方案,而不是冒着在线修改时间表的风险来处理不确定性。该问题的解就是在每一种交通干扰情况下所采取的一组最优决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of multi-agent Markov decision processes to gate assignment problem
Gate assignment Problem (GAP) is an important subject of airport management to ensure smooth traffic operations. However, flights schedule may undergo some stochastic events such as delays that usually occur and have to be considered in the planning. Our approach considers the representation of gates as collaborative agents trying to complete a set of flights assignment tasks as given by a centralized controller. That will allow giving a new model for the GAP based on Multi Agent Markov Decision Processes (MMDP). The aim of this work is to give to controllers at the airport a robust priory solution instead of taking the risk of online schedule modifications to handle uncertainty. The solution of this problem will be a set of optimal decisions to be taken in every case of traffic disturbance.
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