摘要
给出了基于节点信息的路网空间拓扑结构的具体描述形式。引入相关性概念,提出了一种基于道路几何信息的自适应模糊决策地图匹配算法。通过待配路段两两之间隶属度值的比较与模糊排序以及测度因子参数的适应性调整,使算法在道路几何分布复杂,且较为密集的区域,仍具有较强的适应能力。对实际跑车数据的仿真处理结果表明,该算法较好地解决了城市交叉路口地图匹配问题。
The method on setting up road network topological structures based on nodes information is presented in this paper. The corelation theory is introduced and a map-matching algorithm which is based on adaptive fuzzy decision is given. The algorithm is implemented by comparison and rank-ordering of the degree of membership between two different roads separately. At the same time, measure parameters can adjust themselves in accordance with road segments geometrical distributing. All of these characteristic determined that the integrated algorithm is excellent and can resolve the map matching problem under the condition of road segments being dense in a local area. Simulation results with actual field experimental data show that the algorithm can perfectly solve the MM problem at urban intersections.
出处
《淮阴工学院学报》
CAS
2004年第1期20-23,31,共5页
Journal of Huaiyin Institute of Technology
基金
国家自然科学基金资助项目(79870032)
关键词
地图匹配
交叉点
拓扑结构
模糊决策
map matching
intersection
topological structure
fuzzy decision
