考虑信号控制影响的低频浮动车路径估计

Trajectory Estimation of the Low-Frequency Floating Car Under Traffic Signal Control

针对低频浮动车中相邻GPS匹配点跨越多个路段的路径估计问题,考虑信号控制以及其他影响绕行的因素,建立最优路径的层次分析模型。首先,选取评价指标进行模糊等级划分;其次,利用各指标间的判断矩阵和权系数向量得到各路段阻抗因子;最后,以路段阻抗代替路段长度,利用Dijkstra搜索算法找到最"短"路径,判定为浮动车驾驶者最可能的行驶路径。以北京市石景山区实际车辆GPS数据为例,选取其中跨越多路段的GPS点进行分析,所得路径估计结果与该车实际行驶路径相一致。

To study the trajectory estimation of adjacent GPS match points across multiple intersections in the low- frequency sampling floating car system,the analytic hierarchy process model of optimal path was established with consideration of signal control and other factors that affect the bypass. The actual car GPS data in Beijing Shijingshan area were used for analysis. First, the evaluation indexes were selected to make fuzzy classification. Second,judgment matrix and weights vector between each indexes were used to get road resistance factor of each road sections. Final- ly,Dijkstra search algorithm was used to find the shortest path replaced by the minimum road resistance and the path was identified as the most likely travel route of floating car drivers. The result shows that path estimation results are consistent with the car driving route.