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An Analysis to Validate the Travel Time in Order to Develop an Animated Simulation to Reproduce the Congestion Situation during a Massive Downpour

机译:验证旅行时间的分析,以便在大规模挖掘期间制定动画模拟以再现复制拥塞情况

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It is undesirable to face traffic congestion during an emergency. Congestion does not only cause delay to returning home commuters but also impede emergency vehicles. It is necessary to identify the congestion location as well as congestion severity in order to find the causes and countermeasures, furthermore setting priorities among remedial steps to alleviate the severity. In this study, we prepare an animated simulation of returning home behavior of commuters during a downpour. A taxi probe data was used to prepare the simulation. However, a direct visualization of the raw data does not produce a comprehensive representation of the real traffic situation. This study aims at reproducing efficiently the real traffic situation under such condition that can be easily recognized by a simple and quick glance. This paper discusses the method to reproduce the data as well. The proposed method provides a better realization of the traffic condition. The animated simulation that would be built from a preferable pattern can be used to explore the level of congestion in numerous locations and to evaluate the performance of countermeasures to overcome the congestion.
机译:在紧急情况下面临交通拥堵是不可取的。拥堵不仅会导致延迟返回家庭通勤者,而且妨碍了紧急车辆。有必要识别拥塞位置以及拥塞严重程度,以便找到原因和对策,此外,在补救措施中确定优先级以减轻严重程度。在这项研究中,我们在次雨水期间准备了回归乘客的家庭行为的动画模拟。出租车探针数据用于准备模拟。然而,原始数据的直接可视化不会产生实际交通状况的全面表示。本研究旨在在这种情况下有效地再现实际交通情况,这可以通过简单快捷地透明地容易地识别。本文讨论了重现数据的方法。所提出的方法提供了更好地实现了交通状况。将从优选模式构建的动画模拟可用于探讨众多位置的拥塞水平,并评估对策的性能以克服拥塞。

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