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Moving Objects with Transportation Modes:A Survey

《计算机科学技术学报:英文版》2019年 第4期 | Jian-Qiu Xu Ralf Hartmut Güting Yu Zheng Ouri Wolfson   College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 211106 China Faculty of Mathematics and Computer Science University of Hagen Hagen 58097 Germany JD Intelligent City Research Beijing 100176 China Department of Computer Science University of Illinois at Chicago Chicago 60607 U.S.A.
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摘 要: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.
【分 类】【工业技术】 > 自动化技术、计算机技术
【关键词】 MOVING OBJECT TRANSPORTATION mode DATA model performance DATA GENERATOR
【出 处】 《计算机科学技术学报:英文版》2019年 第4期 709-726页 共18页
【收 录】 中文科技期刊数据库