Prediction And Simulation System For Noise Along Railwayside Based On GIS

The railway noise is one kind of environmental pollution which brings by the train's high speed running, predicting and simulating railway noise needs processing massive data and analysis the model. At present the predicting and simulating patterns which being used broadly and universally, are Spot Pattern and Line Pattern. First one is being used in Japanese Shinkansen (also called as North Land Method), which looks the high speed running train as a series of spot noise source. The second one is called as Pattern Method, which being used in our homeland and dill the train noise as a limited-length line noise source. This paper unified the two kinds patterns' advanced place, established a new predicting and simulating pattern Line-Point Pattern, its characteristic is that it can simulate the real situation of running train, therefore its result of noise predicting will be more approached to the actual case. Take this pattern as the foundation, the Prediction and Simulation System for Noise along Railwayside Based on GIS develop ArcGIS secondly using by VB.net, this system can count and analysis the massive data, after that it will output the graph of pollution. This system has important utilization value, it realizes predicting and appraisal of railway noise by simulated method.