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GIS DB와 LiDAR Dataset의 효율적인 결합에 의한 도로교통소음지도의 제작
박태호(Taeho Park),장채미(Chaemi Jang),장서일(Seo Il Chang),전범석(Bumseok Chun) 한국소음진동공학회 2018 한국소음진동공학회 논문집 Vol.28 No.4
In order to construct a road-traffic noise map of a city, which is a useful tool for policy making, a 3-D model of the city should be generated in advance. Since the 3-D model should include relevant roads and buildings of a city, the process requires time- and resource-consuming works. Especially, the heights of elevated roads and buildings cannot be obtained easily from the official data. In this study, DSM, DEM, and nDSM models generated from a LiDAR dataset are combined with GIS DB to estimate the heights more efficiently. This procedure was applied to the city of Gwangju to construct a road-traffic noise map, and by measuring the noise levels at 604 locations, the average difference between the measured and predicted noise levels was found within 1.7 ㏈(A). The 3-D modeling process combining LiDAR and GIS DB is expected to increase the efficiency of noise map construction.