Abstract

Current studies about moving obstacles mainly focus on uncommon evacuation scenarios, while there lacks researches on common egress scenarios, such as evacuation from an exit. This study aims to prove that pedestrian flow through exit can be improved by the presence of a moving obstacle and investigate the effect of a moving obstacle on regulating pedestrian flow. Unidirectional pedestrian flow simulations based on social force model are conducted to study the influence of a moving obstacle, that is a mobile robot, on the pedestrian flow through an exit. The robot reciprocates parallel to the wall of the exit with a constant speed 0.5m/s, and the gap between the robot and the exit is set to 1.0m. The pedestrians need to obey the rule of avoiding collision with the robot. By comparing the distributions of individual evacuation time with and without a moving obstacle, it is proven that that the average evacuation time can be reduced by a moving obstacle obviously. The moving obstacle can lead to the inhomogeneous distribution of the crowd near the exit by observing the density profiles. Furthermore, the crowd near the exit is classified into four groups according to movement direction (left or right) and position (the left or right part relative to the center of the exit) of the robot. It reveals that the moving obstacle impedes the evacuation of small proportion pedestrians, but promotes the evacuation of the large proportion pedestrians by the analysis on the fundamental diagrams of the four groups.

Highlights

  • People are jamed at crowded places such as metro stations, stadia and shopping malls, which may cause potential risks of crowd accidents if the people cannot evacuate timely

  • In an egress scenario that two merging pedestrian flows moving through a bottleneck exit, it proves that mobile robots can regulate pedestrian flows to have a desired collective motion and verifies that the motion style of robots is of vital importance for the regulation effect [4]

  • Comparing to the current regulation pedestrian methods at an exit, a mobile robot can deal with more complex evacuation scenarios, for example, it can adjust its own motion to match pedestrian densities, which are in a dynamic state in a real system [4, 5, 9, 10]

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Summary

Introduction

People are jamed at crowded places such as metro stations, stadia and shopping malls, which may cause potential risks of crowd accidents if the people cannot evacuate timely. Afterwards that, in a corridor which is composed of several controlled entrances and one exit, the pedestrians are required to treat mobile robots as obstacles and try to avoid collisions with robots when passing by them. It achieves the goal of the pedestrian flow in every section under robots’ regulation [3]. Comparing to the current regulation pedestrian methods at an exit, a mobile robot can deal with more complex evacuation scenarios, for example, it can adjust its own motion to match pedestrian densities, which are in a dynamic state in a real system [4, 5, 9, 10]

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