Effect of speed matching on fundamental diagram of pedestrian flow

Zhijian Fu, Lin Luo, Yue Yang, Yifan Zhuang, Peitong Zhang, Lizhong Yang, Hongtai Yang, Jian Ma, Kongjin Zhu and Yanlai Li

Physica A: Statistical Mechanics and its Applications, 2016, vol. 458, issue C, 31-42

Abstract: Properties of pedestrian may change along their moving path, for example, as a result of fatigue or injury, which has never been properly investigated in the past research. The paper attempts to study the speed matching effect (a pedestrian adjusts his velocity constantly to the average velocity of his neighbors) and its influence on the density–velocity relationship (a pedestrian adjust his velocity to the surrounding density), known as the fundamental diagram of the pedestrian flow. By the means of the cellular automaton, the simulation results fit well with the empirical data, indicating the great advance of the discrete model for pedestrian dynamics. The results suggest that the system velocity and flow rate increase obviously under a big noise, i.e., a diverse composition of pedestrian crowd, especially in the region of middle or high density. Because of the temporary effect, the speed matching has little influence on the fundamental diagram. Along the entire density, the relationship between the step length and the average pedestrian velocity is a piecewise function combined two linear functions. The number of conflicts reaches the maximum with the pedestrian density of 2.5 m−2, while decreases by 5.1% with the speed matching.

Keywords: Pedestrian dynamics; Fundamental diagram; Collective motion; Cellular automaton; Speed matching (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:458:y:2016:i:c:p:31-42

DOI: 10.1016/j.physa.2016.03.060

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