基于车道特征的多层交通网络时空数据模型研究

【目的】针对当前交通地理系统(GIS-T)领域中常用数据模型在城市交通网络的几何、时空语义属性、拓扑关系等描述以及路径诱导实际需求方面的不足,提出基于车道特征的多层交通网络时空数据模型。【方法】根据数据模型的建模层次,引入道路中心线、行车道、实际车道等特征,构建交通网络的多层次表达,并依次设计概念数据模型和逻辑数据模型,最后通过实验验证模型的性能。【结果】该模型比传统基于车道的网络模型的算法效率高,行驶时间少。【结论】该模型对车道特征的描述方案可行,在交通路径诱导中的实用性、精度及效率等方面比传统模型更优。

Research on Multi-layer Traffic Network Spatio-temporal Data Model Based on the Characteristics of Lane

Objective]Aiming at the shortcomings of common data model in the current Geographic Information System for Transportation（ GIS-T） ,which includes the geometry, the space-time seman-tic properties, the topological relationship and actual demand of route guidance, a multi-layer traffic network spatio-temporal data model based on the characteristics of lane is presented.Method]Ac-cording to the hierarchy of data modeling a multi-level expression of traffic network is constructed by introducing the features of road centerline, driveway and actual lanes. Then the conceptual data model and the logical data model are designed in order. The performance of the model is validated by experiments.Result]The presented model shows higher efficiency, shorter pass and less time than that of traditional network model based on the driveway. Conclusion]Experimental results proved the feasibility of the proposed model, and the superiority in effectiveness, accuracy and effi-ciency.