不规则或扰动网络流量的自组织控制
Self-Organized Control of Irregular or Perturbed Network Traffic
摘要：
本文提出了一种用于模拟具有不同长度和通行能力路段的城市交通网络的流体动力学模型。该模型允许一个有效地模拟自由和拥挤的交通之间的过渡，同时考虑到交通分配和自适应交通控制。我们观察到的动态流量模式，显着依赖于各自的网络拓扑结构。同步只是一个有趣的例子，它意味着绿色波浪的出现。在这方面，我们将讨论自适应策略的交通灯控制，可以大大提高吞吐量和旅行时间，使用自组织原则的基础上，本地车辆和交通灯之间的相互作用。类似的自适应控制原理可以应用于其他生产网络，如生产系统。事实上，我们建议将交通系统的推式操作转变为拉式操作：通过尽可能快地从网络中移除车辆，可以最有效地避免排队效应。所提出的控制概念可以利用未来可用的廉价传感器技术，并导致合理的操作模式。它是灵活的，自适应的，鲁棒的和分散的，而不是基于预先计算的信号计划和脆弱的交通控制中心。
英文摘要：
We present a fluid-dynamic model for the simulation of urban traffic networks with road sections of different lengths and capacities. The model allows one to efficiently simulate the transitions between free and congested traffic, taking into account congestion-responsive traffic assignment and adaptive traffic control. We observe dynamic traffic patterns which significantly depend on the respective network topology. Synchronization is only one interesting example and implies the emergence of green waves. In this connection, we will discuss adaptive strategies of traffic light control which can considerably improve throughputs and travel times, using self-organization principles based on local interactions between vehicles and traffic lights. Similar adaptive control principles can be applied to other queueing networks such as production systems. In fact, we suggest to turn push operation of traffic systems into pull operation: By removing vehicles as fast as possible from the network, queuing effects can be most efficiently avoided. The proposed control concept can utilize the cheap sensor technologies available in the future and leads to reasonable operation modes. It is flexible, adaptive, robust, and decentralized rather than based on precalculated signal plans and a vulnerable traffic control center.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
