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Challenges and strategies of transportation modelling and simulation under extreme conditions

机译:极端条件下运输建模与仿真的挑战与策略

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Recent natural and man-made hazards such as 9/11, the Asian tsunami, and Hurricane Katrina have raised worldwide concerns. To facilitate the efforts of emergency management, this paper discusses the role of transportation modelling and simulation in these efforts, identifies the challenges faced by transportation modelling and simulation under extreme conditions, and proposes strategies to address some of the challenges. More specifically, the challenges are (a) simultaneous requirements on scale and detail, (b) lack of tools to model traffic operation under extreme conditions, and (c) lack of knowledge and data about extreme conditions. In response to the first challenge, a dynamic multi-scale resolution framework is proposed to achieve the two competing goals, i.e., modelling large-scale networks yet achieving fine details of traffic operations. In response to the second challenge, a nanoscopic approach is conceptually proposed to provide the finest details of traffic operations. A conceptual case study is presented to illustrate a possible application of the above simulation framework.
机译:最近的自然和人为危害,例如9/11,亚洲海啸和卡特里娜飓风,引起了全世界的关注。为了促进应急管理的工作,本文讨论了运输建模和仿真在这些工作中的作用,确定了在极端条件下运输建模和仿真所面临的挑战,并提出了应对某些挑战的策略。更具体地说,挑战是:(a)同时要求规模和细节;(b)缺乏在极端条件下对交通运营进行建模的工具;(c)缺乏有关极端条件的知识和数据。为了应对第一个挑战,提出了动态的多尺度分辨率框架以实现两个相互竞争的目标,即,对大型网络进行建模,但又要实现交通运营的精细细节。为应对第二个挑战,从概念上提出了一种纳米方法,以提供交通运营的最佳细节。提出了概念上的案例研究,以说明上述仿真框架的可能应用。

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