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Rule Adjustment Method for Self-Organizing Control Rules Oriented to Urban Traffic Signals

机译:规则调整方法,用于向城市交通信号定向的自组织控制规则

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In order to solve the adaptability problem of urban traffic signal self-organizing control rules brought by the complexity of urban traffic flow, which makes the adaptability of the rules mismatching with part of working conditions, a method of adjusting the rules of self-organizing control under urban traffic signals is proposed. The traffic congestion level of each lane at the current intersection are chosen as the decision information. The current intersection and its adjacent intersections are defined as a self-organizing unit under real-time. The switching of rule is based on fluid dynamics. The coordination of the green phase duration are under the traffic flow distribution principle, all above constitute the self-organizing control system of urban traffic signals. Each self-organizing control unit, which with its complexity caused by road composition, connection of the intersections and traffic flow randomness, makes the local rule with segmentation adjustment according to the traffic flow parameters to improve the adaptability of the intersection under complex traffic changes. The simulation experiment shows that the validity of the segmental adjustment of traffic flow parameters to the original local rule set is verified. It is concluded that the phase improvement effect of saturated traffic flow with larger relative traffic flow parameters is more obvious. This method is expressed in segments by self-organizing rules.
机译:为了解决城市交通信号自组织控制规则的适应性问题,通过城市交通流量的复杂性带来的,这使得规则与部分工作条件的不匹配的适应性,调整自组织控制规则的方法在城市交通信号下提出。选择当前交叉点处的每个车道的交通拥堵水平作为决定信息。当前交叉点及其相邻的交叉点被定义为实时自组织单位。规则的切换是基于流体动力学。绿色阶段持续时间的协调是在交通流量分布原理下,所有上面都构成了城市交通信号的自组织控制系统。每个自组织控制单元,其复杂性由道路组成,交叉路口和交通流量随机性的连接,使局部规则根据交通流量参数进行分割调整,以改善交叉点在复杂的流量变化下的适应性。仿真实验表明,验证了对原始本地规则集的交通流量参数的节段调整的有效性。结论是,饱和交通流量与相对交通流量参数较大的相位改善效果更为明显。该方法通过自组织规则在段中表达。

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