Self-organized control of irregular or perturbed network traffic; Optimal Control and Dynamic Games

Self-organized control of irregular or perturbed network traffic; Optimal Control and Dynamic Games
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DOI:
10.1007/0-387-25805-1_15
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发表时间:
2005-11
影响因子:
2.7
通讯作者:
D. Helbing;Stefan Lammer;J. Lebacque
D. Helbing;Stefan Lammer;J. Lebacque
中科院分区:
管理学3区
文献类型:
--
作者:
D. Helbing;Stefan Lammer;J. Lebacque

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我们提出了一种流体动力学模型,用于模拟具有不同长度和容量的路段的城市交通网络。该模型允许人们有效地模拟自由交通和拥塞交通之间的转换,同时考虑拥塞响应交通分配和自适应交通控制。我们观察到动态流量模式,这在很大程度上取决于各自的网络拓扑。同步只是一个有趣的例子,它意味着绿波的出现。在这方面,我们将讨论交通灯控制的自适应策略,该策略可以使用基于车辆和交通灯之间的本地交互的自组织原理来显着提高吞吐量和旅行时间。类似的自适应控制原理可以应用于其他排队网络,例如生产系统。事实上,我们建议将交通系统的推式操作转变为拉式操作:通过尽快从网络中移除车辆,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产生合理的操作模式。它灵活、适应性强、稳健且分散,而不是基于预先计算的信号计划和脆弱的交通控制中心。
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.