Simulation of pedestrian flows through queues: Effect of interaction and intersecting angle

Pei-Yang Wu and Ren-Yong Guo

Physica A: Statistical Mechanics and its Applications, 2021, vol. 570, issue C

Abstract: In this paper, we propose a microscopic pedestrian model with discrete space representation to simulate pedestrian flows through multiple queues. In the model, two types of pedestrians, i.e., passing pedestrians and queuing pedestrians, are involved and they can intersect in different angles. Both the interaction and movement of pedestrians are jointly formulated by using a potential field. By simulation analyses, we investigate the effects of both the intersecting angle and the interaction between pedestrians on the movement efficiency of pedestrians. The results indicate that (1) the moderate avoidance of queuing pedestrians can result in a high movement efficiency of pedestrians; (2) the phenomenon of passing pedestrians moving near one side of the walkway can be observed in the scenario; and (3) some measures can be taken to improve the movement efficiency of pedestrians in the scenario, such as separating the movement areas of the two types of pedestrians or setting up a set of obstacles near service windows. This paper is also an attempt to study the effect of moving obstacles on the movement of pedestrians.

Keywords: Pedestrian flows through queues; Avoidance behavior; Cellular automata; Simulation; Pedestrian dynamics (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:570:y:2021:i:c:s0378437121000765

DOI: 10.1016/j.physa.2021.125804

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