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计算机系统应用英文版:2017,26(1):255-259
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基于Hadoop的出租车服务策略
(1.长安大学 信息工程学院, 西安 710064;2.陕西省道路交通智能检测与装备工程研究中心, 西安 710064)
Taxi Service Strategy Based on Hadoop
(1.The Information Technology School, Chang'an University, Xi'an 710064, China;2.Shaanxi Road Traffic Detection and Equipment Engineering Research Center, Xi'an 710064, China)
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Received:April 25, 2016    Revised:June 07, 2016
中文摘要: 出租车服务策略是出租车司机群体智慧的体现,隐藏在大规模的出租车GPS轨迹数据中.基于大数据分析工具,针对出租车GPS轨迹数据进行服务策略挖掘,提取好的服务策略指导司机营运可以提高司机收入和营运效率.乘客搜索策略是出租车服务策略的主要内容,在对GPS轨迹数据进行清洗之后导入HDFS,首先提取司机个人轨迹,并对其收入进行量化,然后对乘客搜索策略建模,根据模型利用hadoop平台统计出司机对各种策略的使用情况,结果表明,收入较高的司机在乘客搜索策略选择上与收入一般的司机有显著差异.
Abstract:Taxi service strategy is a group of taxi drivers' wisdom embodied, hidden in the large-scale taxi GPS data.Mining GPS traces using big data analysis tools to find and understand the service strategies of skilled taxi drivers to guide other drivers can increase their salaries and improve the efficiency of taxi operation.Passenger searching strategy is the main content of taxi service strategies, which loads GPS traces data into HDFS after the data pre-processing;splits the data to get each driver's personal GPS traces;calculates driver's salary;models taxi driver's service strategies;and then studies how the service strategies influence the driver's salary.A case study indicates that, the differences between the taxi drivers who have better salaries and the drivers who have ordinary salaries are significant in terms of passenger searching strategy.
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基金项目:国家自然科学基金(61303041);交通运输部基础研究项目(2014319812150);陕西省工业攻关项目(2014K05-28,2015GY002);中央高校创新团队项目(310824153405)
引用文本:
段宗涛,陈欣欣,康军,温兴超,尉青青.基于Hadoop的出租车服务策略.计算机系统应用,2017,26(1):255-259
DUAN Zong-Tao,CHEN Xin-Xin,KANG Jun,WEN Xing-Chao,YU Qing-Qing.Taxi Service Strategy Based on Hadoop.COMPUTER SYSTEMS APPLICATIONS,2017,26(1):255-259