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首页> 外文期刊>Transportation Research Part B: Methodological >A comparative study of Macroscopic Fundamental Diagrams of arterial road networks governed by adaptive traffic signal systems
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A comparative study of Macroscopic Fundamental Diagrams of arterial road networks governed by adaptive traffic signal systems

机译：自适应交通信号系统支配的动脉道路网络宏观基本图的比较研究

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摘要

Using a stochastic cellular automaton model for urban traffic flow, we study and compare Macroscopic Fundamental Diagrams (MFDs) of arterial road networks governed by different types of adaptive traffic signal systems, under various boundary conditions. In particular, we simulate realistic signal systems that include signal linking and adaptive cycle times, and compare their performance against a highly adaptive system of self-organizing traffic signals which is designed to uniformly distribute the network density. We find that for networks with time-independent boundary conditions, well-defined stationary MFDs are observed, whose shape depends on the particular signal system used, and also on the level of heterogeneity in the system. We find that the spatial heterogeneity of both density and flow provide important indicators of network performance. We also study networks with time-dependent boundary conditions, containing morning and afternoon peaks. In this case, intricate hysteresis loops are observed in the MFDs which are strongly correlated with the density heterogeneity. Our results show that the MFD of the self-organizing traffic signals lies above the MFD for the realistic systems, suggesting that by adap-tively homogenizing the network density, overall better performance and higher capacity can be achieved.
机译：使用随机元胞自动机模型处理城市交通流量，我们研究和比较了在各种边界条件下由不同类型的自适应交通信号系统控制的动脉道路网络的宏观基本图（MFD）。特别是，我们模拟了包括信号链接和自适应周期时间在内的现实信号系统，并将其性能与旨在统一分配网络密度的自组织交通信号的高度自适应系统进行比较。我们发现，对于具有与时间无关的边界条件的网络，观察到了定义明确的固定MFD，其形状取决于所使用的特定信号系统以及系统中异构性的水平。我们发现，密度和流量的空间异质性提供了网络性能的重要指标。我们还将研究时间边界条件随时间变化的网络，其中包括早晨和下午的高峰。在这种情况下，在MFD中观察到了复杂的磁滞回线，这些回线与密度异质性密切相关。我们的结果表明，自组织流量信号的MFD高于实际系统的MFD，这表明通过自适应地均匀化网络密度，可以实现总体上更好的性能和更高的容量。

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    Lele Zhang; Timothy M Garoni; Jan de Gier;

  • 作者单位

    ARC Centre of Excellence for Mathematics and Statistics of Complex Systems, Department of Mathematics and Statistics. University of Melbourne, Victoria 3010, Australia,School of Mathematical Sciences, Monash University, Clayton, Victoria 3800, Australia;

    School of Mathematical Sciences, Monash University, Clayton, Victoria 3800, Australia;

    Department of Mathematics and Statistics, The University of Melbourne, Victoria 3010, Australia;

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  • 正文语种 eng
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  • 关键词

    macroscopic fundamental diagram; traffic signal system; simulation;

    机译：宏观基本图交通信号系统;模拟;

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