基于排队理论的双敏决策机制在机场出租车管理中的应用

Fang He
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引用次数: 0

摘要

随着经济和全球贸易的快速发展,乘坐飞机日益成为人们出行的主要方式,而出租车是机场最主要的换乘工具,尤其是在客源广、客流量大的机场。然而,目前很多大型机场都存在出租车载客率低、收入不平衡、乘客候车时间长等现象。因此,驾驶员如何决策才能使自身利益最大化,管理部门如何分配资源、制定管理制度才能提高乘车效率、平衡驾驶员利益,成为亟待解决的问题。本文通过建立出租车司机双敏决策模型、出租车纵向排队模型和短途乘客再返回强迫 M/M/1 排队模型来解决上述问题。
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 dual-sensitive decision mechanism based on queuing theory in airport taxi management
With the rapid development of economy and global trade, flying has increasingly become the main way for people to travel, and taxi is the main transfer tool of the airport, especially in the airport with wide passenger sources and large passenger flow. However, at present, many large airports have the phenomenon of low taxi load rate, unbalanced income and long waiting time for passengers. Therefore, how can drivers make decisions to maximize their benefits, and how can management departments allocate resources and formulate management systems to improve ride efficiency and balance drivers' benefits have become urgent problems to be solved. This paper solves the above problems by establishing the taxi driver dual-sensitive decision model, the longitudinal taxi queuing model and the short-distance passenger re-return forced M/M/1 queuing model.
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