机场的出租车决策问题  

作　　者：王慧冰 白雨弘 王雨山 

机构地区：[1]华北理工大学数学建模创新实验室,河北唐山063210

出　　处：《数码设计》2019年第22期109-109,共1页Peak Data Science

摘　　要：整体经济的增长、居民生活水平的提高和飞机出行方式更加大众化加速了机场旅客吞吐量的增加,在给大型机场发展提供人群基础的同时,也为机场交通带来了更大压力。本文将对机场出租车问题进行分析研究,采用层次分析法,解决了送客到机场的出租车司机去留的问题,建立排队模型,设置了最优上车点使得总的乘车效率最高以及“优先”安排方案使各出租车收益尽量均衡。The overall economic growth,the improvement of residents'living standards and the more popular way of airplane travel have accelerated the increase of airport passenger throughput,which not only provides a crowd base for the development of large airports,but also brings more pressure to airport traffic.In this paper,the problem of airport taxi will be analyzed and studied.The analytic hierarchy process(AHP)is adopted to solve the problem of whether the taxi drivers will leave or stay at the airport.The queuing model is established,the optimal boarding point is set up to make the total driving efficiency the highest,and the"priority"arrangement scheme makes the income of each taxi as balanced as possible.

关 键 词：出租车决策模型 层次分析法 M/M/C排队模型 非强占优先权 

分 类 号：F572.88[经济管理—产业经济]