Behavior and Management of Stochastic Multiple-Origin-Destination Traffic Flows Sharing a Common Link
Behavior and Management of Stochastic Multiple-Origin-Destination Traffic Flows Sharing a Common Link
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共享公共链路的随机多源目的地流量的行为和管理
DOI：
10.1109/cdc40024.2019.9028934
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Yining Wen
中科院分区：
文献类型：
--
作者：
Li Jin;Yining Wen
在交通系统（如高速公路、铁路、机场）中，具有不同始发目的地对的交通流通常共享共同设施并广泛互动。由于交通流量的自然波动，这种相互作用通常是随机的。在本文中，我们研究了多个交通流之间的相互作用，并提出了基于现代传感和驱动能力的直观但可证明有效的控制算法。我们将问题分解为两个子问题：合并结点的影响和发散结点的影响。我们使用一个流体模型来表明(i)在合并点适当选择优先级对上游队列的稳定性是决定性的，（ii）在发散点释放优先级不影响稳定性。我们还通过一个使用队列管理的多类别交通流的示例来说明我们分析的见解。
In transportation systems (e.g. highways, railways, airports), traffic flows with distinct origin-destination pairs usually share common facilities and interact extensively. Such interaction is typically stochastic due to natural fluctuations in the traffic flows. In this paper, we study the interaction between multiple traffic flows and propose intuitive but provably efficient control algorithms based on modern sensing and actuating capabilities. We decompose the problem into two sub-problems: the impact of a merging junction and the impact of a diverging junction. We use a fluid model to show that (i) appropriate choice of priority at the merging junction is decisive for stability of the upstream queues and (ii) discharging priority at the diverging junction does not affect stability. We also illustrate the insights of our analysis via an example of management of multi-class traffic flows with platooning.