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Evacuation can be learned

机译:疏散可以学习

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摘要

It is difficult to predict how people will actually act when evacuated in an emergency. Where will they head? When will they leave? Which route will they take? Research into evacuation is split between examining behavioural aspects and traffic management, explains researcher Adam Pel. The models used by Pel and his colleagues are based on what they learn from questionnaires, observations during evacuations in other countries and their own studies. Their models elucidate aspects such as how much traffic there will be at certain junctions, how quickly the traffic will flow with specific traffic light configurations and where (and how long) the tailbacks will be. All of this information could potentially help the authorities. "The authorities will want to delay the decision to evacuate for as long as possible, until more information is available and certainty regarding what is actually going to happen," says Pel. If the model indicates bottlenecks, you could give people specific instructions. Traffic control measures can be used to manage the situation, public transport can be mobilised, or timetables adjusted.
机译:很难预测人们在紧急情况下撤离时的实际行为。他们会去哪里?他们什么时候离开?他们会走哪条路线?研究人员亚当·佩尔(Adam Pel)解释说,疏散的研究分为行为方面的检查和交通管理。 Pel和他的同事使用的模型基于他们从调查表中学到的知识,在其他国家/地区撤离期间的观察以及他们自己的研究。他们的模型阐明了某些方面,例如在某些路口将有多少交通,在特定交通信号灯配置下交通将以多快的速度流动以及尾巴将在何处(以及持续多长时间)。所有这些信息都可能对当局有所帮助。佩尔说:“当局将希望尽可能长时间地推迟撤离的决定,直到可以获得更多信息并确定实际情况。”如果模型表明存在瓶颈,则可以向人们提供具体说明。可以使用交通控制措施来管理这种情况,可以调动公共交通或调整时间表。

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    《Delft outlook》 |2016年第3期|15-15|共1页
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