Spatiotemporal Big Data Challenges for Traffic Flow Analysis
作者： Dmitry Pavlyuk
DOI: 10.1007/978-3-319-74454-4_22
关键词:
摘要: This paper contains a survey of spatiotemporal big data challenges in the area urban traffic flow analysis. Existing sources and types were reviewed evidences that can be considered as provided. Current trends analytics modelling forecasting consolidated list joint emerging was composed. The stated cover different aspects are linked to optimal time space resolution, spatial temporal relationships data, computational complexity algorithms, fusion from heterogeneous into single predictive scheme, development responsive streaming algorithms. raised supported by an extensive literature review, suggestions for future work offered.
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