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- W3148002517 abstract "Various sensors such as GPS units, mobile phones, public transportation passes, and bank cards record the trajectory of human activities. These massive trajectory data contain distribution pattern of human behavior in space and time. The study of trajectory data can reveal individual trajectory patterns, facilitate the understanding of characteristics of human dynamics, and thus support trajectory prediction, urban planning, traffic monitoring and the like. Therefore the study of trajectory data recorded by various sensors has become a focus of research at present. In this paper, we analyze the acquisition and expression of human activity trajectory. The trajectory of human activities can be classified into three broad categories according to the sampling methods and driving factors-through interval sampling, position sampling and event trigger sampling. The trajectory data are composed of origin points, destination points, anchor points and general nodes. The study of trajectory patterns is organized in accordance with anchor points, travel range, shape, origin-destination(OD) flow pattern,and temporal pattern. The results can reflect periodicity and clustering patterns of activities in space and time.On this basis, we summarize the application of human activity trajectory in urban studies from five aspects, including trajectory prediction, dynamic urban landscape delineation, urban traffic simulation and monitoring, urban functional unit identification, and other urban applications. We argue that exploring human activity patterns provides the basis for other studies in urban planning, urban traffic, public security, and so on." @default.
- W3148002517 created "2021-04-13" @default.
- W3148002517 creator A5028476494 @default.
- W3148002517 date "2014-01-01" @default.
- W3148002517 modified "2023-09-24" @default.
- W3148002517 title "A review on the classification, patterns and applied research of human mobility trajectory" @default.
- W3148002517 hasPublicationYear "2014" @default.
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