Analysis Of The Comprehensiveness Of Ais Data Sets: Application To The Underwater Noise Modelling At Basin Scale

With the aim of model and predict the underwater noise generated by the shipping traffic, the assessment of the traffic density is adopted in this study. This assessment is realised by using AIS data sets, where each AIS includes vessel name, details, location, speed, among other information. In order to analyse the influence of the comprehensiveness of AIS data sets on the modeled underwater noise, different AIS data sets are considered in this study. The results reveal that traffic noise modelling is strongly degraded by a lack of AIS positions, and data fusion as well as vessel pattern knowledge are greatly suggested to fill these lacks.