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计算机系统应用:2018,27(12):251-256
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基于大规模GPS轨迹数据的出租车换道行为研究
康军1,2, 温兴超1, 段宗涛1,2, 唐蕾1
(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技术研究中心, 西安 710064)
Study on Lane-Changing Behavior Based on Large Scale GPS Trajectory Data
KANG Jun1,2, WEN Xing-Chao1, DUAN Zong-Tao1,2, TANG Lei1
(1.School of Information Engineering, Chang'an University, Xi' an 710064, China;2.Shaanxi Road Traffic Detection and Equipment Engineering Technology Research Center, Xi'an 710064, China)
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投稿时间:2018-05-15    修订日期:2018-06-08
中文摘要: 出租车换道行为的统计特性对研究经济、心理等人类动力学有重要的意义.结合大数据分析技术,基于西安市出租车GPS轨迹数据对出租车司机的换道行为进行了定量研究.设计了一种基于出租车GPS轨迹数据的出租车司机换道行为识别模型,利用大数据平台对出租车司机换道次数按不同时段进行了定量统计,对出租车司机换道次数、出租车平均行驶速度和出租车司机的收入之间进行了相关性分析.分析结果表明,出租车频繁换道行为对司机收益呈现负相关影响,进一步说明出租车司机驾驶习惯和和心理对整个出租车运营有显著影响.
Abstract:The statistical characteristics of taxi behavior have important significance to study the economic and psychological of human dynamics. Based on the taxi GPS track data in Xi'an, the lane-changing behavior was quantitatively studied by big data analysis technology. The model of a lane-changeing behavior recognition was designed, combined with the big data analysis technology, the number of taxi drivers' lane-changing was quantified in terms of different time periods, and the correlation analysis between taxi drivers' lane-changing times, taxi average driving speed, and taxi drivers' income was carried out. The results show that there is a significant negative correlation between the income of taxi drivers and the average driving speed of taxis, which further indicates that taxi drivers' habits and psychology have a significant impact on the whole taxi operation.
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基金项目:陕西省工业科技攻关项目(2015GY002);国家自然科学基金青年科学基金(61303041);陕西省重点科技创新团队项目(2017KCT-29);陕西省国际科技合作计划项目(2017KW-015);陕西省重点研发计划项目(2017GY-072,2018GY-136)
引用文本:
康军,温兴超,段宗涛,唐蕾.基于大规模GPS轨迹数据的出租车换道行为研究.计算机系统应用,2018,27(12):251-256
KANG Jun,WEN Xing-Chao,DUAN Zong-Tao,TANG Lei.Study on Lane-Changing Behavior Based on Large Scale GPS Trajectory Data.COMPUTER SYSTEMS APPLICATIONS,2018,27(12):251-256

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