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[3M4-OS-7a-02] Interpretation of Multiple Metrics and Parameters Considering User Preference by Radar Charts in Reduced 2D Space
Keywords:Pedestrian Flow Simulation, Visualization
Pedestrian flow simulation is a technique to reproduce pedestrian flow and is used to develop pedestrian flow guidance plans. In pedestrian flow simulation, there are induction parameters that determine the induction method and evaluation indicators that evaluate the induction results. In order to develop an effective pedestrian flow guidance plan, it is important to understand the relationship between the guidance parameters and evaluation indicators. However, multiple evaluation indicators exist, and their relationships are very complex, making interpretation difficult. In this study, we propose a method to interpret the relationship between induction parameters and evaluation indicators while considering multiple evaluation indicators.In the proposed method, multiple evaluation indices are drawn on a two-dimensional plane by dimensionality reduction using UMAP.The plane is divided into grids to visualize the tradeoffs for each grid, and a single evaluation indicator is calculated from the multiple evaluation indicators based on the user's preferred tradeoffs.The PCP is drawn using this single evaluation index.In this paper, we present an example of visualization of a dataset of simulated human flow data for evacuation guidance.Experiments show that it is possible to analyze the relationship between parameters and evaluation indicators for various trade-offs.
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