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Modelling network flow with and without link interactions: the cases of point queue, spatial queue and cell transmission model

机译:有和没有链路交互的网络流建模:点队列,空间队列和小区传输模型的情况

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This paper studies dynamic network models in which congestion takes the form of queuing behind bottlenecks. The three models in consideration, the point queue (P-Q) model, the spatial queue (S-Q) model and the cell transmission model, all deal with queues caused by temporal bottlenecks, yet differ with each other in describing the S-Q characteristics. Our work focuses on exploring the impacts of spatial distribution of queues on the result of dynamic network loading (DNL). For this purpose, simple node models (merge and diverge) are introduced to describe flow interactions across links. We present a numerical solution algorithm to the DNL problem which accommodates the three models in a general framework. Analytical solutions are derived for simple cases and agree with numerical results. Our limited experiments indicate that P-Q and S-Q may severely underestimate network travel costs under DNL, particularly when queue spillback prevails.
机译:本文研究动态网络模型,其中拥塞采取在瓶颈后面排队的形式。考虑中的三个模型,即点队列(P-Q)模型,空间队列(S-Q)模型和小区传输模型,都处理由时间瓶颈引起的队列,但在描述S-Q特性方面彼此不同。我们的工作重点是研究队列的空间分布对动态网络加载(DNL)结果的影响。为此,引入了简单的节点模型(合并和发散)来描述跨链接的流交互。我们提出了DNL问题的数值求解算法,该算法在一个通用框架中容纳了三个模型。解析解适用于简单情况,并与数值结果一致。我们有限的实验表明,在DNL下,P-Q和S-Q可能会严重低估网络旅行成本,尤其是在出现队列溢出时。

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