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首页> 外文期刊>Journal of advanced transportation >Vertical and Horizontal Queue Models for Oversaturated Signal Intersections with Quasi-Real-Time Reconstruction of Deterministic and Shockwave Queueing Profiles Using Limited Mobile Sensing Data
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Vertical and Horizontal Queue Models for Oversaturated Signal Intersections with Quasi-Real-Time Reconstruction of Deterministic and Shockwave Queueing Profiles Using Limited Mobile Sensing Data

机译:垂直和水平队列模型,用于过饱和信号交叉口,并使用有限的移动传感数据对确定性和冲击波排队轮廓进行准实时重建

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Deterministic/point/vertical and shockwave/physical/horizontal queueing models are widely used in traffic operation to estimate vehicular queue length and delays at bottlenecks such as signalized intersections. The consistency between the two types of queueing model in terms of their estimation performance has been a subject of debate for decades. This paper reexamines the issue, typically with respect to oversaturated signal intersections, and demonstrates the consistency based on analytical studies and microscopic simulations. While fixed-location sensor data was dominating, it was hardly possible to construct the deterministic or shockwave queueing profile using real data. For this reason, either profile had significance only at a conceptual level and could not be put into practical usage. With the quick spread of mobile sensing data, however, the situation has drastically changed. In this context, this paper also intends to develop an efficient approach to the reconstruction of the deterministic and shockwave queueing profiles in a quasi-real-time manner using very limited mobile sensing data. Microscopic simulations with AIMSUN have demonstrated the efficiency of the approach as well as the analytical results obtained in this paper.
机译:确定性/点/垂直和冲击波/物理/水平排队模型广泛用于交通运营中,以估计车辆队列长度和瓶颈(如信号交叉口)的延迟。就估计性能而言,两种排队模型之间的一致性数十年来一直是争论的话题。本文重新审视了这个问题,通常是关于过饱和的信号交叉点,并基于分析研究和微观模拟证明了一致性。在固定位置传感器数据占主导地位的同时,几乎不可能使用实际数据来构造确定性或冲击波排队轮廓。由于这个原因,任何一个概要文件仅在概念上具有重要性,无法投入实际使用。但是,随着移动传感数据的快速传播,情况发生了巨大变化。在这种情况下,本文还打算开发一种有效的方法,以非常实时的方式使用非常有限的移动感应数据来重建确定性和冲击波排队轮廓。使用AIMSUN进行的微观模拟已证明了该方法的有效性以及本文获得的分析结果。

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