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论文摘要

基于收益优先的机场出租车司机决策研究

Study on the decision of airport taxi drivers based on income priority

作者:俞雪永(浙大城市学院计算机与计算科学学院);魏金岭(浙大城市学院计算机与计算科学学院, 杭州 310015);魏弋力(浙大城市学院计算机与计算科学学院, 杭州 310015);王硕苹(浙大城市学院计算机与计算科学学院, 杭州 310015);董奕君(浙大城市学院信息与电气工程学院, 杭州 310015)

Author:YU XueYong(School of Computer and Computing Science, Zhejiang University City College, Hangzhou 310015, China);WEI JinLing(School of Computer and Computing Science, Zhejiang University City College, Hangzhou 310015, China);WEI YiLi(School of Computer and Computing Science, Zhejiang University City College, Hangzhou 310015, China);WANG ShuoPing(School of Computer and Computing Science, Zhejiang University City College, Hangzhou 310015, China;);DONG YiJun(School of Information and Electrical Engineering, Zhejiang University City College, Hangzhou 310015, China)

收稿日期:2019-12-02          年卷(期)页码:2020,57(4):689-696

期刊名称:四川大学学报: 自然科学版

Journal Name:Journal of Sichuan University (Natural Science Edition)

关键字:出租车司机;决策模型;收益优先

Key words:Taxi Drivers; Decision Model; Revenue First

基金项目:浙江省高校实验研究项目(ZD201907)

中文摘要

综合考虑了在一定的时间段内机场乘坐出租车乘客的数量、机场到达的乘客数量、“蓄车池”等待的出租车数量以及该时间段内市区出租车服务密度、节假日因素、天气因素、司机的驾驶状态和司机的心理因素给司机带来的决策影响的因素,以这些因素为变量,构造了出租车决策模型,给出了出租车司机做出各种不同决策的阈值和相应的决策准则.通过北京首都国际机场航班到港数据以及北京出租车运营的相关数据,计算了司机获得的相应收益.

英文摘要

This article considers the impact of several factors, including the number of passengers who wants to take taxis at the airport, the number of passengers arriving at the airport, the number of waiting, the density of taxi services in urban areas, the influence of holidays , the influence of weather and the driving state and psychological state of driver in a certain period of time, to the decisions made by drivers. Taking the factors mentioned as variables we constructed the taxi decision model. This taxi decision model gives the thresholds of drivers for making various decisions and corresponding decision criteria. It also uses relevant data about flight arrivals and taxi operations of Beijing Capital International Airport to calculate the corresponding benefits to the driver.

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