In this paper, the traffic area of subzone division in urban road network is studied and a subzone division method based on the combination of static partition and dynamic partition is proposed. The static partition is carried out for the road network when the traffic flow is in a noncongested state, so as to provide the decision-making basis for the traffic green wave signal control strategy. At the same time, aiming at the road network when the traffic flow is congested, the dynamic partition is carried out on the basis of static partition to provide the decision-making basis for the traffic maximum flow signal control strategy. In view of the fact that it is difficult to determine the clustering center point during the initial division, this method proposes to determine the clustering center point according to the value of nodes of betweenness centrality. In order to solve the problem that it is difficult to collect traffic data, a method for estimating traffic flow density is proposed. In order to solve the problem of normalization of different probability distribution among various parameters, Mahalanobis distance is used as the fusion index of subzone division. Model verification shows that the method is feasible and effective.

中文翻译：

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基于静态分区与动态分区相结合的城市交通区细分

本文研究了城市路网分区划分的交通区域，提出了一种基于静态分区和动态分区相结合的分区划分方法。对交通流处于非拥塞状态时的路网进行静态划分，为交通绿波信号控制策略提供决策依据。同时，针对交通流拥堵时的路网，在静态分区的基础上进行动态分区，为交通最大流量信号控制策略提供决策依据。鉴于初始划分时难以确定聚类中心点，该方法提出根据介数中心性节点的值确定聚类中心点。为了解决交通数据采集困难的问题，提出了一种交通流密度估计方法。为了解决各参数间不同概率分布的归一化问题，采用马氏距离作为子区划分的融合指标。模型验证表明该方法可行有效。