城市浮动车数据定位误差分布规律研究

通过浮动车数据处理与分析,探讨了浮动车数据定位误差的影响因素。选择了三个主要的因素——速度、道路等级和时间段,进行了定量分析。提出了定位误差的计算方法,介绍了在复杂的城市环境下浮动车数据定位误差和影响因素之间的定量关系。结果表明,车速和道路等级对浮动车定位误差有显著的影响。提出了定位误差和速度之间的函数关系,以及定位误差在不同道路等级和不同时间段的具体分布情况。研究结果可进一步用于提高地图匹配的准确性。

Distribution Characteristics of FCD Positioning Error in Urban Areas

The impact factors of the positioning errors from floating car data are explored by the floating car data processing and analysis. Three major factors, namely, speed, road grade and time period are selected for quantitative analysis. The calculation method of positioning errors is introduced, and the quantitative relationship between floating car data positioning error and the influencing factors in the complex urban environment is presented. It is found that the vehicle speed and road grade have significant impacts on the position errors. The function relationships between the positioning error and speed is suggested; and the distribution of positioning error in different road grades and different time periods are presented. The results can be further used to improve the accuracy and validation of the map matching.