基于吸引关系的停车场网络连接方法

Parking network connectivity method based on attraction relationship

摘要:

为研究停车场网络拓扑结构,提出了基于吸引关系的停车场网络连接方法.通过改进现有停车需求预测模型,充分考虑停车利用率、停车周转率、城市中心指数等因素影响,建立了新的停车场需求算法.通过绘制常规Voronoi图,利用断裂点理论的关键性质和常规Voronoi图的物理参数,划分各停车场的影响范围.引入吸引度概念,并对吸引度计算公式中的参数进行了修改和标定.计算停车场网络中每个节点的吸引度和节点间连线的边权,确定了停车场之间的连接情况.对哈尔滨市部分停车场进行吸引关系下的停车场网络模型构建.采用复杂网络参数分析方法对停车场网络进行分析,分别分析了规模赋值计算方法下和进一步通过吸引关系计算下的停车场宏观及微观节点参数.结果表明吸引关系下,停车场网络度分布符合幂律分布,无标度网络特征明显.与全局耦合网络和单边耦合网络对比,吸引关系下停车场网络具有较高聚类系数和全局有效性和较小的平均路径长度,在现有参数评价体系中表现均衡,是一种实用的停车场连接方式.

Abstract:

In order to research the topological structure of parking network, a new method of parking network connection based on attractive relationship is proposed. By improving the existing parking demand forecasting model and considering the factors such as parking utilization, parking turnover, and urban center index, a new parking demand algorithm is established. Drawing a conventional Voronoi diagram and using the key properties of the fracture point theory and physical parameters of the conventional Voronoi diagram to divide the influence range of each parking lot, the concept of attractiveness is introduced, and the parameters in the formula of attractiveness calculation are modified and calibrated. The degree of attraction of each node in the parking lot network and the edge weight of the connection between nodes were calculated. Then the connection situation between parking lots was determined. In this paper, the model of parking lot network is constructed under the attraction relationship of some parking lots in Harbin. The complex network parameter analysis method is adopted to analyze the parking lot network. The macro and micro node parameters of parking lot under the scale assignment calculation method and further calculation through the attraction relation are analyzed. Results show that the parking lot network degree distribution conforms to the power law distribution, and the scale-free network features are obvious. Compared with the global coupled network and the unilateral coupled network, the parking lot network under the attraction relationship has a high clustering coefficient and global effectiveness and a small average path length. This method is a practical mode whose performance exhibits equilibrium under the existing parameter evaluation system.