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Human exit route choice in virtual crowd evacuations

机译:虚拟人群疏散中的人类出口路线选择

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摘要

The collective behaviour of human crowds emerges from the local interactions of individuals. To understand human crowds we therefore need to identify the behavioural rules individual pedestrians follow. This is crucial for the control of emergency evacuations from confined spaces, for example. At a microscopic level we seek to predict the next step of pedestrians based on their local environment. However, we also have to consider 'tactical-level' individual behaviour that is not an immediate response to the local environment, such as the choice between different routes to exit a building. We used an interactive virtual environment to study human exit route decisions in simulated evacuations. Participants had to escape from a building and had to choose between different exit routes in the presence of evacuating simulated agents. We found no inherent preference for familiar routes, but under a stress-inducing treatment, subjects were more likely to display behaviour in their route choice that was detrimental to their evacuation time. Most strikingly, subjects were less likely to avoid a congested exit by changing their original decision to move towards it under this treatment. Age and gender had clear effects on reaction times in the virtual environment.
机译:人群的集体行为来自个人的局部互动。因此,要了解人群,我们需要确定每个行人遵循的行为规则。例如,这对于控制从密闭空间紧急疏散至关重要。在微观层面上,我们试图根据行人的当地环境来预测行人的下一步行动。但是,我们还必须考虑“战术层面”的个人行为,而不是对当地环境的直接反应,例如在退出建筑物的不同路线之间进行选择。我们使用交互式虚拟环境来研究模拟疏散中的人员出口路线决策。参与者不得不从建筑物中逃脱,并且不得不在疏散模拟特工的情况下在不同的出口路线之间进行选择。我们没有发现对熟悉路线的内在偏好,但是在压力诱导治疗下,受试者更有可能在选择路线时表现出不利于疏散时间的行为。最引人注目的是,在这种治疗方法下,受试者通过改变最初的决定而避免拥挤退出的可能性较小。年龄和性别对虚拟环境中的反应时间有明显的影响。

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