基于多源速度数据的动态权值融合方法研究

Research on dynamic weight fusion method based on multi-source speed data

导航平台路段速度和浮动车GPS速度是常用的道路运行车速数据源,单独使用一种数据进行相关研究存在实时更新数据路网覆盖率低、数据质量不稳定等问题。基于数据可靠性的动态权值数据融合方法,文章将导航平台路段速度和浮动车GPS速度进行了融合。先将两种数据进行空间和时间同步化处理,并针对路段数据和GPS数据设计不同的数据可靠性评估算法;再将实时更新的导航平台路段速度和浮动车GPS速度基于数据可靠性融合,得到最终的路段速度。实验表明:导航平台路段数据、GPS路段数据的平均时间粒度更新路网覆盖率分别为60.32%和33.43%,基于数据可靠性的融合数据达到了74.29%,路段速度平均误差降低到了3.82 km/h,均优于导航平台路段速度、GPS路段速度和固定权值的融合速度。

Road section speed of navigation platform and GPS speed of floating car are common sources of road speed data.Using one of the data alone for related research will have problems such as low cover⁃age of real-time update data,unstable data quality and so on.Therefore,a real-time dynamic weight da⁃ta fusion method based on data reliability is proposed,which fuses the navigation platform road section speed and floating car GPS speed.Before the two kinds of data fusion,space and time are synchronized,and different data reliability evaluation algorithms are designed for the navigation platform road section data and floating car GPS data.Then,the real-time updated navigation platform road section speed and floating car GPS speed are fused based on data reliability to get the final road section speed.The experi⁃mental results show that:the average time granularity data updating network coverage rate of navigation platform road section data and GPS road section data are 60.32%and 33.43%respectively,the fusion data based on data reliability is 74.29%,and the average error of road section speed is reduced to 3.82 km/h,which are better than navigation platform road section speed,GPS road section speed and data fu⁃sion speed according to fixed weight.