Effect of location accuracy of building GIS data on the prediction calculation of road traffic noise

For drawing accurate noise map, it is important to calculate the propagation attenuation by dense building along the street. The road traffic noise prediction model, ASJ RTN-Model 2023, provides a prediction method for the noise behind dense buildings. This method calculates the noise attenuation using perspective angle and density of building complex based on building arrangements. Therefore, the accuracy of building GIS data used for calculations is important. The “PLATEAU” project provides a nation-wide open GIS data, which led by the Ministry of Land, Infrastructure, Transport and Tourism to develop 3-D city models and make them available as open data. The PLATEAU has the horizontal location accuracy of buildings within a standard deviation of 1.75 m. In this study, we examined the impact of uncertainty of buildings location on the noise prediction. We calculated the single-event sound exposure levels for each predicted point assuming that the building GIS data would vary according to the defined location accuracy. The results suggest that the location accuracy of the building arrangements significantly influences the predicted noise levels, especially when the prediction points are close to the buildings on the side of the target road.