Applying Vision-Driven Agent to Simulate Pedestrian Trajectory Under Furniture Layouts in Public Squares
Applying Vision-Driven Agent to Simulate Pedestrian Trajectory Under Furniture Layouts in Public Squares
复制标题
应用视觉驱动智能体模拟公共广场家具布局下的行人轨迹
DOI：
10.1007/978-4-431-54901-7_11
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Mizuno Takayuki
中科院分区：
文献类型：
--
作者：
Kaneda Toshiyuki;Morita Yuri;Ohashi Satoshi;Mizuno Takayuki
近年来，在日本，公共广场一直是市中心复兴的重点，市政部门引入了桌子，椅子，植物和提供茶点的摊位。在考虑公共广场的有效运营时，分析这些布局（以下简称布局）对行人运动的影响是很重要的。本章中，我们调查了在布置家具的公共广场中的行人运动，确定了这个过程中的重要特征。此外，我们还尝试通过智能体模拟，特别是用于表现自然运动的外体视觉架构（伊娃），模拟根据布局不同而不同的城市运动网络。本章以丰田市车站广场为例，进行了城市运动轨迹调查。结果表明，偏离最短路径原则的奇异性例子倾向于选择最长的“视线”（LLOS）方向。接下来，除了LLOS原则之外，我们还解释了在公共广场中具有OD（Origin-Destination）元组以及退出规则的代理模型。通过设置家具布局条件，将智能体模拟的结果与轨迹调查的结果相匹配，检查矩形正方形的富山大广场。不同的布局设置的模拟结果也进行了检查。此外，我们还研究了如何在一般意义上最好地处理复杂空间。
In recent years, in Japan, public squares have been the focus of downtown revitalization, with the municipal sectors introducing tables, chairs, plantings, and stands that provide refreshments. In considering the efficient operation of public squares, it is important to analyze the influence of these layouts (hereinafter, layout) on pedestrian movement.In this chapter, we investigate pedestrian movement in public squares where furniture layout is arranged, identifying vital characteristics in the process. We also attempt to simulate pedestrian-movement networks that differ according to layout by agent simulation, specifically Exosomatic Visual Architecture (EVA), which is used to represent the Natural Movement.In this chapter, a pedestrian-trajectory survey is conducted in Toyota City Station Square. The results suggest that singularity examples deviating from the shortest-path principle tend to opt for the Longest “Line-Of-Sight” (LLOS) direction. Next, in addition to the LLOS principle, we explain the pedestrian-agent model, which has an OD (Origin-Destination)-tuple in the public square as well as an exit rule. The Toyama Grand Plaza, which is a rectangular square, is examined by matching the result of agent simulation by setting the condition of layout of furniture with the result of the trajectory survey. The simulation results for different layout settings are also examined. Moreover, we also examine how to best handle complex spaces in a general sense.