计算机科学技术学报 ›› 2019,Vol. 34 ›› Issue (4): 709-726.doi: 10.1007/s11390-019-1938-4

所属专题： 综述； Data Management and Data Mining

• • 上一篇    下一篇

具有运动方式的移动对象研究综述

Jian-Qiu Xu1, Member, CCF, Ralf Hartmut Güting2, Yu Zheng3, Senior Member, CCF, Ouri Wolfson4, Fellow, ACM, IEEE   

  1. 1 College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics Nanjing 211106, China;
    2 Faculty of Mathematics and Computer Science, University of Hagen, Hagen 58097, Germany;
    3 JD Intelligent City Research, Beijing 100176, China;
    4 Department of Computer Science, University of Illinois at Chicago, Chicago 60607, U.S.A
  • 收稿日期:2019-01-31 修回日期:2019-04-17 出版日期:2019-07-11 发布日期:2019-07-11
  • 作者简介:Jian-Qiu Xu got his Bachelor's and Master's degrees in computer science from Nanjing University of Aeronautics and Astronautics,Nanjing,in 2005 and 2008,respectively.Then,he got his Ph.D.degree supervised by Prof.Dr.Ralf Hartmut Güting in 2008-2012 from University of Hagen,Hagen,focusing on moving objects databases and spatial databases.In 2013,he joined Nanjing University of Aeronautics and Astronautics,Nanjing,as an assistant professor.His research has been funded by NSFC (National Natural Science Foundation of China).He has published a book on moving objects with transportation modes and more than 20 papers in journals and conferences such as TKDE,Geoinformatica,Information System and ICDE.He won the Best Demo Paper in APWeb/WAIM 2017.
  • 基金资助:
    Jian-Qiu Xu is supported by the National Key Research and Development Program of China under Grant No. 2018YFB1003900 and the Fundamental Research Funds for the Central Universities of China under Grant No. NS2017073.

Moving Objects with Transportation Modes: A Survey

Jian-Qiu Xu1, Member, CCF, Ralf Hartmut Güting2, Yu Zheng3, Senior Member, CCF, Ouri Wolfson4, Fellow, ACM, IEEE   

  1. 1 College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics Nanjing 211106, China;
    2 Faculty of Mathematics and Computer Science, University of Hagen, Hagen 58097, Germany;
    3 JD Intelligent City Research, Beijing 100176, China;
    4 Department of Computer Science, University of Illinois at Chicago, Chicago 60607, U.S.A
  • Received:2019-01-31 Revised:2019-04-17 Online:2019-07-11 Published:2019-07-11
  • Supported by:
    Jian-Qiu Xu is supported by the National Key Research and Development Program of China under Grant No. 2018YFB1003900 and the Fundamental Research Funds for the Central Universities of China under Grant No. NS2017073.

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补充材料

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在这篇文章中我们将综述过去十多年内关于具有运动方式的移动对象研究进展。作为人的重要行为之一，运动方式反映运动特征并丰富了移动信息。我们将和与此内容密切相关的融入语义和描述属性的移动对象研究进行比较。这篇综述将从一下四个方面进行分析：（i）具有运动方式的移动对象建模和表示；（ii）具有运动方式的时空查询；（iii）查询优化方法；（iv）基于传感器数据的运动方式预测，例如GPS设备。同时提出了若干与运动方式相关的未来研究问题。

关键词: 移动对象, 运动方式, 建模, 预测

Abstract: In this article, we survey the main achievements of moving objects with transportation modes that span the past decade. As an important kind of human behavior, transportation modes reflect characteristic movement features and enrich the mobility with informative knowledge. We make explicit comparisons with closely related work that investigates moving objects by incorporating into location-dependent semantics and descriptive attributes. An exhaustive survey is offered by considering the following aspects:1) modeling and representing mobility data with motion modes; 2) answering spatio-temporal queries with transportation modes; 3) query optimization techniques; 4) predicting transportation modes from sensor data, e.g., GPS-enabled devices. Several new and emergent issues concerning transportation modes are proposed for future research.

Key words: moving object, transportation mode, data model, performance, data generator

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