Journal on Communications ›› 2015, Vol. 36 ›› Issue (12): 97-105.doi: 10.11959/j.issn.1000-436x.2015318

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Trajectory big data:data,applications and techniques

Jia-jie XU1,2,Kai ZHENG1,2,Ming-min CHI3,Yang-yong ZHU3,Xiao-hui YU4,Xiao-fang ZHOU1,2   

  1. 1 School of Computer Science and Technology,Soochow University,Suzhou 215006,China
    2 Collaborative Innovation Center of Novel Software Technology and Industrialization,Nanjing 211102,China
    3 Dept.of Computer Science,Shanghai Key Laboratory of Data Science,Shanghai 201203,China
    4 School of Computer Science and Technology,Shandong University,Jinan 250101,China
  • Online:2015-12-25 Published:2017-07-17
  • Supported by:
    The National Basic Research Program of China (973 Program);The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;High-tech R&D Program of Shandong Province

Abstract:

The fast development of mobile internet has given rise to an extremely large volume of moving objects trajectory data.These data not only reflect the spatio-temporal mobility of individuals and groups,but may also contain the behavior information of people,vehicles animals,and other objects of interest.They are invaluable for route planning,urban planning and vehicle monitoring,etc.,and tremendous efforts have been made to support effective trajectory data management,including trajectory data pre-processing,which handles issues such as high redundancy,low precision and inconsistency of sampling; trajectory database technologies,concerning the efficient and effective storage of trajectory data and query processing; trajectory data warehousing,which supports the analytics on large-scale trajectory data;knowledge discovery,by which useful patterns can be extracted from trajectory data.A survey of trajectory big data analytics from three different aspects:data,applications and techniques is provided.

Key words: spatio-temporal database, trajectory data management, indexing structure, query processing

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