The University of Central Florida has developed the Community Noise Model (CNM) for traffic noise prediction of free flowing (highway use) as well as interrupted flowing (urban use) vehicle movement. The CNM is a true traffic simulation model that predicts sound levels at specified receiver locations by modeling vehicles as discrete moving point sources. Numerous variables are utilized in predicting noise levels, such as vehicle volume and speed, vehicle type mix, and ground surface. This paper reports on an in-depth analysis of the effect of each variable on the output of the model and looks at validation studies that have been done. All variables were exercised in this work during an exhaustive sensitivity/validation study. The model inputs are directly compared to the prediction outputs by tabulating and plotting the results. This study permitted conclusions to be drawn about traffic model inputs and their respective predicted noise levels. The findings of this study are therefore representative of the CNM and traffic noise models in general. The accuracy of the model was determined by comparison to measured data. Noise levels for several test(s) were recorded along with the pertinent input parameter details. The test sites were modeled using the parameter data and prediction noise levels obtained. Predicted versus measured sound levels were plotted for direct visual comparison.


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    Title :

    Sensitivity analysis of the AAMA community noise model


    Contributors:


    Publication date :

    1998


    Size :

    Seiten


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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