考虑临近时空序列影响的城市交通状态判别方法

以营运车辆的GPS数据作为研究对象，根据路网连接的拓扑属性构建电子矢量地图，在离散化的时-空系统中，提出新的交通状态判别算法设计思路. 考虑路段交通状态的时空关联特性，采用当前路段速度、邻近时空序列速度综合计算进行路段交通状态判别.

Urban traffic state discrimination method considering the influence of adjacent spatio-temporal sequences

Vehicle GPS data mining and analysis combined with GIS technology algorithm is a widely used method for urban road traffic status discrimination. This paper introduces a new design idea of the algorithm based on taking the GPS data of the operating vehicle as the research object and constructing the electronic vector map according to the topological properties of the road network connection in the discretized spatio-temporal system. In the process of traversing the vehicle trajectory, the recursive characteristics of the path are utilized to reduce the scale of the route search area and improve the computation cost for discriminating the state of large-scale traffic network in the city . And the current road segment speed and the adjacent spatio-temporal sequence speed are used to comprehensively determine the traffic state of the road segment considering the spatio-temporal correlation characteristics of the traffic state of the road section. The effectiveness of the algorithm is analyzed in the downtown area of Zhangzhou City, Fujian Province. The performance of the proposed algorithm in the center area of Zhangzhou indicates that the algorithm has high accuracy and feasibility and can provide reference for analysis urban traffic status.