Realtime Congestion Forecasting of Remote Space Through BLE Beacons
Realtime Congestion Forecasting of Remote Space Through BLE Beacons
复制标题
通过 BLE 信标进行远程空间的实时拥塞预测
DOI：
10.1109/candarw51189.2020.00018
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Taiki Iwao and Satoshi Fujita
中科院分区：
文献类型：
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作者：
名倉 正剛;薄井 駿;高田 眞吾;Taiki Iwao and Satoshi Fujita
在本文中，我们提出了一个系统，预测在一个给定的空间，而实际上没有访问那里的程度。所提出的系统是基于一个假设，使用户的到达和离开关注的目标空间遵循一个特定的概率分布，如高斯混合分布和泊松分布。该系统从反映用户移动的时间序列数据中估计潜在概率分布的参数，并通过使用估计的参数来预测在不久的将来的某个时间的干扰程度。实验结果表明，在大学教室内采集的实际数据中，通过选取合适的正态分布生成的虚拟数据，填充缺失的未来部分，参数估计的精度可与完全数据的精度相媲美。
In this paper, we propose a system which forecasts the degree of congestions in a given space without actually visiting there. The proposed system is based on an assumption such that the arrival and departure of users concerned with the target space follows a specific probability distribution such as Gaussian mixture distribution and Poisson distribution. The system estimates parameters of the underlying probability distribution from time-series data reflecting the movement of users, and forecasts the degree of congestions at a certain time in the near future by using estimated parameters. The experimental results based on actual data acquired in a classroom of university show that the accuracy of parameter estimation could be comparable to that for complete data by filling missing future part with dummy data generated according to an appropriate normal distribution.