摘要
针对机场出租车调度管理中乘客与司机之间的信息不匹配,运用二叉树决策模型等方法,构建了司机决策的均值模型和收益模型.给出不同影响因素下司机的决策方案,并设计机场出租车上车点的具体位置,同时利用信息智能化技术设计了导乘屏,以优化出租车智能供求匹配系统,解决了乘客与司机之间的信息不匹配问题.设计不同方案并加以分析,得出了有益于短途司机的最优化方案,该方案可供其他交通运营机构借鉴.
Aiming at the information mismatch between passengers and drivers in airport taxi dispatching management,the mean value model and income model of driver′s decision-making are constructed by using binary tree decision-making model.The decision-making schemes of drivers are obtained under different influence factors,and the specific location of the taxi pick-up point in the airport is designed,at the same time,the guiding screen of the taxi pick-up point is designed by using the information intelligent technology to optimize the taxi intelligent supply and demand matching system,the problem of information mismatch between passengers and drivers is solved.At last,different schemes are designed and analyzed,and the optimum scheme which is beneficial to short-distance drivers is obtained,which can be used for reference by other transportation operators.
作者
钱鹏程
朱家明
QIAN Pengcheng;ZHU Jiaming(Department of Economics and Finance,Business Institute Anhui University of Finance and Economics,Bengbu 233010,China;School of Statistics and Applied Mathematics,Anhui University of Finance and Economics,Bengbu 233030,China)
出处
《高师理科学刊》
2020年第7期21-25,共5页
Journal of Science of Teachers＇College and University
基金
国家自然科学基金项目(11601001)
安徽省省级教研项目(2018jyxm1305)——大数据背景下学科竞赛对新经管人才创新能力培养研究。
关键词
智能供求匹配系统
信息智能化
导乘屏
二叉树
均值模型
intelligent supply and demand matching system
information intelligence
guide screen
binary tree
mean value model
