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Rule Optimization of Self-organization Control of Traffic Signals in Urban Net Based on Hydrodynamic

机译:基于流体动力学的城市网络交通信号自组织控制的规则优化

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Prior researchers indicate that hydrodynamics models of traffic-flow is lack of description of changing mechanism under urban traffic, and self-organization control system can not explain the dynamic characteristics of urban traffic flow clearly. The aim of the paper is to puts forward an optimized method on control rules that make the united application of hydrodynamics and self-organization system in signal control. The parameter sets of control rules are built from parameter sets of road network which are evolution under hydrodynamic equations such as the length of each lane, phase, queue length and so on .With the aim of the maximum traffic volume at each intersection in the road network, the control rules optimize its parameter sets to adapt to the dynamic change. By means of the computer simulation, the application of signal self-organizing control under hydrodynamic is proved effective in urban traffic.~(a).
机译:现有研究人员表明,交通流量的流体动力学模型缺乏对城市交通中变化机制的描述,自组织控制系统无法解释城市交通流量的动态特征。本文的目的是提出了一种关于控制规则的优化方法,使得在信号控制中的流体动力学和自组织系统中的合作应用。控制规则的参数集由道路网络的参数集构成,该路线套装是流体动力方程下的演变,例如每个车道,相位,队列长度等的长度。在路上的每个交叉路口的最大交通量的目的网络,控制规则优化其参数集以适应动态变化。通过计算机仿真,证明了在城市交通中有效地在水动力学下进行了信号自组织控制的应用。〜(a)。

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