Abstract | ||
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In recent years, technologies of indoor crowd positioning and movement data analysis have received widespread attention in the fields of reliability management, indoor navigation, and crowd behavior monitoring. However, only a few indoor crowd movement trajectory datasets are available to the public, thus restricting the development of related research and application. This article contributes a n... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TR.2021.3109122 | IEEE Transactions on Reliability |
Keywords | DocType | Volume |
Trajectory,Computer crime,Benchmark testing,Real-time systems,Schedules,Global Positioning System,Data models | Journal | 70 |
Issue | ISSN | Citations |
4 | 0018-9529 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ying Zhao | 1 | 219 | 21.13 |
Xin Zhao | 2 | 2 | 0.71 |
Siming Chen | 3 | 125 | 14.34 |
Zhuo Zhang | 4 | 0 | 0.34 |
Xin Huang | 5 | 0 | 0.34 |