Faced with the increasingly complex road traffic situation,when monitoring the carbon emissions of vehicles,it is easy to be affected by confounding,resulting in inaccurate monitoring results,a real-time monitoring method for carbon emissions of road traffic vehicles under multi-sensor fusion is proposed.The multi-sensor array is used to collect the vehicle carbon emission information,and the Kalman filter method is used to calculate the European distance between each sample of the collected information and the fusion center.The distance is used as the radius to draw a circle to fuse all the collected ve-hicle carbon emission information.The Kalman filter filtering method of multi-sensor fusion technology is used to build the monitoring point filtering processing model,and the multi-sensor fusion framework is used to sense multidimensional data,and the predicted values of monitoring points after removing the noise.According to the linear differential equation to accu-mulate the whitening equation time,a monitoring model based on multi-sensor fusion technology is constructed.Based on the dual layer fusion process of multiple sensors,real-time monitoring of vehicle carbon emissions is achieved.According to the experimental results,there is a maximum error of 0.05 Mt between the monitoring results of this method and the actual sta-tistical data,and the minimum monitoring time is 0.1 s,providing technical support for green traffic for vehicles.
关键词
多传感器融合/道路交通/碳排放量/实时监测
Key words
multi-sensor fusion/road traffic/carbon emissions/real time monitoring
维普
万方数据