宽人行道上实际双向行人流的连续测量
Continuous measurements of real-life bidirectional pedestrian flows on a wide walkway
摘要：
采用部分重叠的头顶\kinectTMS传感器和自动行人跟踪算法，我们记录了人群交通的直线部分的主要人行道的埃因霍温训练站在一个24/7的基础上。除了通往训练站台（它在铁路下方通过），人行道在城市中起着重要的连接作用。几个拥挤的情况下发生在白天，包括高密度和低密度动态单向和双向制度。在本文中，我们讨论我们的记录技术，我们说明了初步的数据分析。通过基本的类高斯表示，我们报告行人速度和流量与行人密度。考虑到密度范围$0$ - $1.1\,$ ped/m $^2$，我们发现，在密度低于$0.8\,$ ped/m $^2$行人在单向流走得比在双向制度。相反，即使双向流动的速度和通量高于$0.8\,$ ped/m $^2$。
英文摘要：
Employing partially overlapping overhead \kinectTMS sensors and automatic pedestrian tracking algorithms we recorded the crowd traffic in a rectilinear section of the main walkway of Eindhoven train station on a 24/7 basis. Beside giving access to the train platforms (it passes underneath the railways), the walkway plays an important connection role in the city. Several crowding scenarios occur during the day, including high- and low-density dynamics in uni- and bi-directional regimes. In this paper we discuss our recording technique and we illustrate preliminary data analyses. Via fundamental diagrams-like representations we report pedestrian velocities and fluxes vs. pedestrian density. Considering the density range $0$ - $1.1\,$ped/m$^2$, we find that at densities lower than $0.8\,$ped/m$^2$ pedestrians in unidirectional flows walk faster than in bidirectional regimes. On the opposite, velocities and fluxes for even bidirectional flows are higher above $0.8\,$ped/m$^2$.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
