| 出租车轨迹数据的地域间移动模式分析 |
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| 引用本文： | 龚希,陈占龙,谢忠. 出租车轨迹数据的地域间移动模式分析[J]. 武汉大学学报(信息科学版), 2018, 43(10): 1595-1602. DOI: 10.13203/j.whugis20170035 |
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| 作者姓名： | 龚希 陈占龙 谢忠 |
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| 作者单位： | 1.中国地质大学(武汉)信息工程学院, 湖北 武汉, 430074 |
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| 基金项目： | 国家重点研发计划2017YFC0602204国家自然科学基金41401443国家自然科学基金41671400中央高校基本科研业务费专项资金优秀青-基金CUG160226 |
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| 摘 要： | 基于地域的移动模式（zone-based movement pattern，ZMP）的发掘通过对出租车轨迹的聚类分析，同步发掘地域与移动轨迹。该方法通过ZMP的合并达到新地域发掘的目的，并加以距离和专题属性组成的相邻约束以保留移动的方向性、地域的功能属性以及地域间的距离关系。通过连接矩阵迭代计算得到最优合并的ZMP进行合并，从而发掘ZMP，同时通过覆盖度、精准度以及基于这两者的平衡评估因子等对合并得到的ZMP进行评定。通过现实世界的出租车数据进行实验，结果表明该方法高效可行，能合理地实现合并现有区以发掘新地域。
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| 关 键 词： | 地域分析 地域发掘 移动模式分析 移动模式发掘 出租车轨迹 |
| 收稿时间： | 2017-09-13 |
Analysis on Zone-based Movement Pattern Using Taxi Trajectory Data |
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| Affiliation: | 1.Faculty of Information Engineering, China University of Geosciences(Wuhan), Wuhan 430074, China2.National Engineering Research Center of Geographic Information System, Wuhan 430074, China |
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| Abstract: | We propose an integrated approach to discover both zones and movement trajectories among zones, which referred to as zone-based movement pattern (ZMP), from taxi trajectory data. This method discovers the zones by merging ZMPs, which keeps the directionality of movement, thematic attributes and distance relationship of zones by the adjacent constraints consists of distant and thematic attributes. By joint average frequencies, we can identify new ZMP by iteratively calculating the best candidate ZMPs to be merged then. In addition, evaluation measures of ZMP are suggested in terms of factors such as coverage, accuracy and a tradeoff of both them. The effectiveness of the proposed approach is demonstrated through a real-world data set obtained, the experiment result shows that the approach can merge the existing zones to discover new ZMP rationally. |
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