A Reliability Analysis of Airport Noise Monitoring Data Based on Evidence Theory

With the scale of airport transportation expanding, the level of airport noise pollution is worsening, therefore, installing airport noise monitoring system has been an important method for a lot of airport to monitor the surrounding noise environments. In order to know well the operation of various monitoring points around the airport, this paper presents an assessment model of airport noise monitoring data reliability based on evidence theory. The model makes use of the relationship of every monitoring noise data in the same flight events to construct the basic probability assignment function, and then combines evidence using the improved rule. Experimental results show that the model can assess the reliability of the various monitoring points accurately, and when an exception of monitoring points occurs, the proposed model based on improved rule is superior to those based on the existing rules.