Department of Geography, Ghent University, Krijgslaan 281, S8, B-9000 Ghent, Belgium.
Sensors (Basel). 2012 Oct 22;12(10):14196-213. doi: 10.3390/s121014196.
Accurate spatiotemporal information on crowds is a necessity for a better management in general and for the mitigation of potential security risks. The large numbers of individuals involved and their mobility, however, make generation of this information non-trivial. This paper proposes a novel methodology to estimate and map crowd sizes using mobile Bluetooth sensors and examines to what extent this methodology represents a valuable alternative to existing traditional crowd density estimation methods. The proposed methodology is applied in a unique case study that uses Bluetooth technology for the mobile mapping of spectators of the Tour of Flanders 2011 road cycling race. The locations of nearly 16,000 cell phones of spectators along the race course were registered and detailed views of the spatiotemporal distribution of the crowd were generated. Comparison with visual head counts from camera footage delivered a detection ratio of 13.0 ± 2.3%, making it possible to estimate the crowd size. To our knowledge, this is the first study that uses mobile Bluetooth sensors to count and map a crowd over space and time.
准确的人群时空信息对于更好的管理(general)以及减轻潜在的安全风险是必要的。然而,大量的人群及其流动性使得生成此类信息变得很复杂。本文提出了一种使用移动蓝牙传感器估计和绘制人群规模的新方法,并探讨了该方法在多大程度上可以替代现有的传统人群密度估计方法。该方法应用于一项独特的案例研究中,该研究使用蓝牙技术对 2011 年环法自行车赛观众进行移动地图绘制。注册了近 16000 名观众手机的位置信息,并生成了人群时空分布的详细视图。与摄像机拍摄的可视人头计数的比较得到了 13.0±2.3%的检测率,从而可以估计人群的规模。据我们所知,这是第一项使用移动蓝牙传感器来对人群进行空间和时间上的计数和绘制的研究。