Dataset for 'Order-disorder transition in multidirectional crowds'

Experimental data from K.A. Bacik, G. Sobota, B.S. Bacik, and T. Rogers, "Order-disorder transition in multidirectional crowds", PNAS, 2025 (Bacik et al. 2025).Two experimental sessions with human participants (83 and 70 subjects, respectively) were conducted to validate a mathematical model of multidirectional crowd dynamics. The research protocol was approved by the Bioethics Committee for Scientific Research at the Academy of Physical Education in Katowice (no. 1/2022/6/23).The participants gathered in a gymnasium arranged into an experimental arena, and they were asked to cross according to personalized itineraries. The motion of the participants was recorded with an overhead camera, and a Apriltag-based algorithm was used to extract their position in time. The details of the experimental protocol can be found in (Bacik et al., 2025) and the accompanying supplementary materials.The files in the repository contain post-processed data that can be used to extract pedestrian trajectories, as well as 5 representative videos.

K.A. Bacik、G. Sobota、B.S. Bacik与T. Rogers于2025年发表在《美国国家科学院院刊》（PNAS）上的论文《多方向人群中的有序-无序转变》（Bacik et al. 2025）中的实验数据。为验证多方向人群动力学的数学模型，研究人员开展了两次含人类参与者的实验（分别有83名和70名受试者）。该研究方案已获得卡托维兹体育学院科学研究生物伦理委员会批准（编号：1/2022/6/23）。参与者聚集在被布置为实验场地的体育馆内，并被要求按照个性化路线穿行。参与者的运动由俯视相机（overhead camera）记录，研究人员采用基于Apriltag的算法实时提取其位置信息。实验方案的详细信息可参见（Bacik et al., 2025）及其随附的补充材料。该存储库中的文件包含可用于提取行人轨迹的后处理数据，以及5段代表性视频。