摘要
连通性是车辆导航中车辆与地图匹配的一个重要因素,它利用历史匹配信息以改善匹配连续性,但同时也可能由于引入错误信息而使匹配结果恶化。该文在多因素综合的模糊地图匹配基础上计算匹配度,对匹配结果的可信程度进行评价。该匹配度通过反馈方式在下一次匹配的连通性因素中加以利用。实验表明带匹配度的反馈模糊地图匹配方法可以使连通性得到更加合理有效的使用,从而使地图匹配效果得到改善。
The connectivity, a key factor in map-matching algorithms, among historically matched roads provides continuous matching results, but can also result in erroneous matching information. A map-matching confidence （MMC）, based on a fuzzy map-matching algorithm with various factors was developed to evaluate the trust worthness. The confidence is used as feedback for analyzing the connectivity in map-matching. Tests show that the fuzzy map-matching algorithm with confidence feedback effectively uses the connectivity to improve the map-matching result.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2009年第2期277-280,共4页
Journal of Tsinghua University(Science and Technology)
基金
国家“八六三”高技术项目(2006AA110116)
关键词
车辆
导航
地图匹配
模糊
vehicle
navigation
map-matching
fuzzy
