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14 March 2022 Hadoop-based spatio-temporal analysis of urban public transportation big data
Yan Ni, Yijie Huang, Aidi Li, Jianqin Zhang, Ying Ding, Ming Zhao
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Proceedings Volume 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021); 121650W (2022) https://doi.org/10.1117/12.2627788
Event: 2021 International Conference on Intelligent Traffic Systems and Smart City, 2021, Zhengzhou, China
Abstract
Big data of urban public transportation contains rich spatial and temporal information, which is the data basis for passenger travel characteristics analysis and evaluation of urban transportation service capacity. In this paper, we take the big data of Beijing bus swipe card and taxi track as the research object, store and calculate these two types of big data based on Hadoop distributed system, build the calculation model of passenger flow extraction, extract the hot ride areas and establish the visualization system based on WebGIS for the visual expression of data analysis results.
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Yan Ni, Yijie Huang, Aidi Li, Jianqin Zhang, Ying Ding, and Ming Zhao "Hadoop-based spatio-temporal analysis of urban public transportation big data", Proc. SPIE 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021), 121650W (14 March 2022); https://doi.org/10.1117/12.2627788
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KEYWORDS
Data storage
Data analysis
Visual analytics
Visualization
Data processing
Distributed computing
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