Name
Abstract | ||
|---|---|---|
Aiming at the problems existing in the current passenger flow management of public buildings, based on the short-term daily passenger flow data of a large library in Tianjin, this paper uses time series analysis method to process the passenger flow data and complete the data modeling according to ARIMA model estimation equation. The forecast data of passenger flow are compared with the actual data, which has a high fitting property. It provides technical support for improving the management level, service quality and eliminating safety risks of public buildings.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3331453.3361635 | Proceedings of the 3rd International Conference on Computer Science and Application Engineering |
Keywords | DocType | ISBN |
Forecast, Public buildings, Short-term passenger flow, Timeseries | Conference | 978-1-4503-6294-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuang Liu | 1 | 36 | 22.95 |
| Wenxia Liu | 2 | 0 | 0.34 |
| Chenfei Qu | 3 | 0 | 0.34 |
| Chao Long | 4 | 0 | 0.34 |