摘要
研究机场出租车的最优调度问题。以河南省郑州市新郑机场某月的进港数据为基础,依据航班数、蓄车池出租车数量、天气、乘车效率四个特征指标,建立出租车司机决策模型和上车点模型与插队时间模型,仿真结果表明出租车能够及时被调度且乘客乘车效率最大化。
This paper studies the optimal scheduling problem of airport taxi.In Henan province Zhengzhou Xinzheng International Airport upon incoming data as the foundation,according to the number of flights,car storage pool taxi number four characteristic indexes,weather,drive efficiency,taxi drivers decision-making model is set up and get on the car model and jump the queue time model,the simulation results show that the taxi can be scheduled in time and passenger train efficiency maximization.
作者
姚志远
钱文超
陈熹
李文钰
YAO Zhi-yuan;QIAN Wen-chao;CHEN Xi;LI Wen-yu(Mathematics and Statistics College of Beihua University,Jilin 132013,China)
出处
《物流工程与管理》
2021年第8期41-44,74,共5页
Logistics Engineering and Management
基金
吉林省科学技术厅项目“基于大数据可视化对综合客运枢纽大客流组织管理的优化建模研究”(项目编号:20190303132SF)。
关键词
层次分析法
牛顿运动学
决策模型
排队论
乘车效率
the analytic hierarchy process
newton s laws of motion
decision model
queuing theory
drive efficiency
