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The Analysis of Trajectories in Moscow Subwayстатья
- Авторы: Nekraplonna Mariia, Namiot Dmitry
- Сборник: Supplementary Proceedings of the XXIII International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2021)
- Год издания: 2021
- Место издания: CEUR-WS Moscow
- Первая страница: 134
- Последняя страница: 146
- Аннотация: Along with the continuous growth of megacities, their trans-portation systems have become increasingly large and complex. The useof transportation systems by passengers directly reflects the changes thatoccur in the urban environment - for this reason, the study of urban mo-bility is an important task of digital urbanism. In particular, this paper isdevoted to the study of spatial patterns (repetitive routes) in transporta-tion systems with the case study on the Moscow subway. A brief reviewof data mining approaches to transportation systems data in general andto the task of spatial patterns extraction, in particular, is presented. Asimple method for pattern extraction is proposed and applied to theMoscow subway data. As a result of the deployment of the proposedmethod the list of patterns was obtained - the graph of spatial patternsof the transport system under study was constructed based on it
- Добавил в систему: Намиот Дмитрий Евгеньевич