Datasets for the impact of position errors on crowd simulation

In this repository, we present our datasets of the experimental results from crowd simulation with three different stampede assessment methods, i.e., pressure method, force method, and density method. The datasets also contain the experimental results with Kalman filter for smoothing position noise. File Description 1. density_r1.xlsx - dataset with density method when the radius is 1 m 2. density_r1.5.xlsx - dataset with density method when the radius is 1.5 m 3. force.xlsx - dataset with force method 4. pressure_r1.xlsx - dataset with pressure method when the radius is 1 m 5. pressure_r2.xlsx - dataset with pressure method when the radius is 2 m 6. pressure_r3.xlsx - dataset with pressure method when the radius is 3 m 7. pressure_r4.xlsx - dataset with pressure method when the radius is 4 m Besides, the folder "kalman filter" contains ten files naming from kf-final-1.csv to kf-final-10.csv, which present the datasets with the mean position error ranges from 1 m to 10 m, respectively.本仓库中发布了我们基于三种不同人群踩踏评估方法开展人群仿真实验所得的实验结果数据集，即压力法、作用力法与密度法。本数据集还包含采用卡尔曼滤波（Kalman filter）平滑位置噪声后的实验结果。 文件说明： 1. density_r1.xlsx：半径为1米时采用密度法的数据集 2. density_r1.5.xlsx：半径为1.5米时采用密度法的数据集 3. force.xlsx：采用作用力法的数据集 4. pressure_r1.xlsx：半径为1米时采用压力法的数据集 5. pressure_r2.xlsx：半径为2米时采用压力法的数据集 6. pressure_r3.xlsx：半径为3米时采用压力法的数据集 7. pressure_r4.xlsx：半径为4米时采用压力法的数据集 此外，名为"kalman filter"的文件夹内包含10个命名为kf-final-1.csv至kf-final-10.csv的文件，各数据集的平均位置误差范围依次为1米至10米。