A Survey on Trajectory Data Management, Analytics, and Learning

نویسندگان

چکیده

Recent advances in sensor and mobile devices have enabled an unprecedented increase the availability collection of urban trajectory data, thus increasing demand for more efficient ways to manage analyze data being produced. In this survey, we comprehensively review recent research trends management, ranging from pre-processing, storage, common analytic tools, such as querying spatial-only spatial-textual clustering. We also explore four closely related analytical tasks commonly used with interactive or real-time processing. Deep learning is reviewed first time. Finally, outline essential qualities that a management system should possess maximize flexibility.

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ژورنال

عنوان ژورنال: ACM Computing Surveys

سال: 2021

ISSN: ['0360-0300', '1557-7341']

DOI: https://doi.org/10.1145/3440207