Development of SDSS in 3D Web GIS-A Case Study in Taiwan Road Traffic Noise Prediction

Recently, global environmental pollution is going serious, yet traffic noise pollution was ignored by people. In fact, noise can not only cause hearing damages physically, but also can be annoying, affecting our job and sleep quality. The concentration of noise pollution is increasing. Previous research use the convenience and strength in spatial calculation of GIS to improve the accuracy of traditional FHWA traffic noise prediction model. Through the noise level distribution on building in 3D GIS platform, he obtained a good result. However, these modeling, calculation and displaying work flows are base on different professional software and programming techniques. This study integrates the whole processes to build a SDSS ( spatial decision support system ) on traffic noise prediction. The user interface is in a 3D Web GIS platform (Skyline TerraExplorer), the calculation of noise prediction model is programmed with ArcObjects, ArcGIS Server and its Spatial Analyst Extension are used for publishing spatial interpolation web services. Under the Service-Oriented Architecture, the system combines advanced analysis of GIS and 3D displaying simultaneously in a mashup way, which can be an infrastructure for further development in SDSS.