Adaptive second fusion of vehicle state perception

Based on the trait of dangerous goods transport vehicles in transit,by using two fusion methods,namely adaptive weighting and two-dimensional regression analysis,the paper brings forward an adaptive second fusion algorithm.The algorithm is applied to collect in-transit property data and its validity is further proved by one data collection taking the case of the dangerous gas phosphine.The result shows that the use of this algorithm improves both the accuracy and the reliability of the in-transit vehicles significantly.