一种基于态势关联的地图匹配算法  

A Map Matching Algorithm Based on Situational Association

作　　者：滕志军[1] 何义昌 李昊天 滕利鑫 Teng Zhijun;He Yichang;Li Haotian;Teng Lixin(Northeast Electric Power University, Jilin 132012)

机构地区：[1]东北电力大学,吉林132012

出　　处：《汽车技术》2019年第4期7-10,共4页Automobile Technology

基　　金：国家自然科学基金项目(51277023)

摘　　要：针对地图匹配过程中分叉路口匹配不精确的问题,提出一种基于态势关联的地图匹配算法,可根据车辆的历史轨迹数据预测可能的行驶轨迹,将预测的轨迹特征与候选路段特征进行相关性匹配,在原有轨迹匹配基础上,进行轨迹特征的双重匹配。仿真结果表明,该算法可减少分叉路口的延时误差,侧向和纵向最大误差分别为0.7 m了车辆在分叉路口的匹配精度。To solve the problem of mismatching at fork junctions during map matching, a new algorithm based on situational association was proposed, which could predict the vehicle trajectory data according to the historical trajectory data of vehicles, and make correlation matching between the predicted trajectory features with the candidate road features, and make the dual matching of the trajectory features on the basis of the original trajectory matching. Analysis of simulation results show that the proposed algorithm can reduce the delay error at fork junctions, and the maximum error of lateral and longitudinal is 0.7 m and 3.7 m respectively, which can effectively improve the matching accuracy of vehicles at fork junctions.

关 键 词：地图匹配 态势关联 态势预测 仿真 航向角差分 

分 类 号：P208[天文地球—地图制图学与地理信息工程]