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Avoidance of Traffic Delay for Panicking Crowds Subject to Information Propagation

机译:避免因信息传播而导致恐慌人群的交通延迟

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摘要

In disaster situations, a panicking people tend to follow other leading people when they must select the next route from alternative routes. In some cases, such tendency may cause traffic congestion in escape routes, and increases the total amount of escape time. Therefore, in this paper, we propose a traffic congestion model and an information propagation model in emergency situations, and consider how to propagate escape route information through panicking crowds in order to avoid traffic congestion. The selection of pairs of "voice alarms" and "escape gates" is an important factor to change the propagation of escape route information. Thus, we evaluate the effect of the selection of pairs by computer simulation using the traffic congestion and information propagation models. Our simulation results indicate that effective pairs can keep the standard deviation of escape time low.
机译:在灾难情况下,惊慌失措的人往往必须跟随其他领导者,因为他们必须从替代路线中选择下一条路线。在某些情况下,这种趋势可能会导致逃生路线上的交通拥堵,并增加逃生时间的总量。因此,在本文中,我们提出了一种紧急情况下的交通拥堵模型和信息传播模型,并考虑如何通过恐慌人群传播逃生路线信息,以避免交通拥堵。成对的“语音警报”和“逃生门”的选择是改变逃生路线信息传播的重要因素。因此,我们通过使用交通拥堵和信息传播模型的计算机模拟来评估对选择的影响。我们的仿真结果表明,有效对可以使逃逸时间的标准偏差保持较低。

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