In this paper, we introduce dyad social groups into the experiment to mimic uni- and bidirectional pedestrian flows that are closer to real life. According to the experimental videos, different strategies of collision avoidance for dyads are observed and classified. Moreover, we observe an interesting lane-merging phenomenon in bidirectional scenarios. Fundamental diagrams are calculated based on two measurement methods, and further compared with previous individual experiments (without dyads), confirming the negative impact of social groups due to their inherent cohesion during the movement process. Then, group characteristics such as group distance and spatial alignment are analyzed under the influence of different global densities. It is interesting to note that the effect of density on spatial alignment distribution is opposite in uni- and bidirectional scenarios, i.e. the increasing density will make the distribution less scattered in the unidirectional flow, which is contrary to the phenomenon in the bidirectional flow. Finally, based on the time evolution of congestion level and crowd danger, they can be good indicators of transitions from disorder to order, especially in bidirectional scenarios. Furthermore, the differences between uni- and bidirectional flows can be well distinguished through the relations between density and congestion level, as well as crowd danger.

在本文中，我们将二元社会群体引入到实验中，以模拟更接近现实生活的单向和双向行人流量。根据实验视频，观察并分类了不同的对偶碰撞避免策略。此外，我们在双向场景中观察到一个有趣的车道合并现象。基本图是根据两种测量方法计算得出的，并与以前的单个实验（没有双色）进行了比较，从而确认了社会群体由于其在运动过程中的固有凝聚力而产生的负面影响。然后，在不同的整体密度的影响下，分析了群体特征，例如群体距离和空间排列。有趣的是，在单向和双向情况下，密度对空间对准分布的影响是相反的，即，密度的增加将使分布在单向流中的分散性降低，这与双向流中的现象相反。最后，基于拥挤程度和人群危险的时间演变，它们可以很好地指示从混乱到有序的转变，尤其是在双向情况下。此外，通过密度和拥挤程度以及人群危险之间的关系，可以很好地区分出单向和双向流动之间的差异。根据拥挤程度和人群危险的时间演变，它们可以很好地指示从混乱到有序的转变，尤其是在双向情况下。此外，通过密度和拥挤程度以及人群危险之间的关系，可以很好地区分出单向和双向流动之间的差异。根据拥挤程度和人群危险的时间演变，它们可以很好地指示从混乱到有序的转变，尤其是在双向情况下。此外，通过密度和拥挤程度以及人群危险之间的关系，可以很好地区分出单向和双向流动之间的差异。