Fujita Akihiro, Feliciani Claudio, Yanagisawa Daichi, Nishinari Katsuhiro
Department of Aeronautics and Astronautics, School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1, Komaba, Meguro-ku, Tokyo 153-8904, Japan.
Phys Rev E. 2019 Jun;99(6-1):062307. doi: 10.1103/PhysRevE.99.062307.
This study investigates motion in a crowd of pedestrians walking at different speeds. Three pedestrian groups are considered (slow walkers, normal walkers, and fast walkers), and we design the experimental condition by mixing the normal walkers with either the slow or the fast walkers to create flows with different speed compositions. All the walkers in this experiment were instructed to walk along a circular course unidirectionally. Fundamental diagrams and multiple regression analysis show that the speed at which a particular pedestrian walks is determined by both the local density and the speed at which the surrounding pedestrians are walking. We also find that the spontaneous lane formation, that occurs in bidirectional flow, does not occur in flow in which the speed is heterogeneous, thereby resulting in a spatial density distribution with large variance. This corresponds to pedestrian clustering, which reduces both the mean speed and the flow rate.
本研究调查了不同步行速度的行人人群中的运动情况。考虑了三个行人组（慢行者、正常步行者和快行者），我们通过将正常步行者与慢行者或快行者混合来设计实验条件，以创建具有不同速度组成的人流。本实验中的所有行人都被指示沿圆形路线单向行走。基本图和多元回归分析表明，特定行人的步行速度由局部密度和周围行人的步行速度共同决定。我们还发现，在双向流中出现的自发车道形成现象，在速度不均匀的流中不会出现，从而导致空间密度分布具有较大方差。这对应于行人聚集，会降低平均速度和流量。
