Re: Modeling noise levels due to traffic patterns (David Mountain )

Subject: Re: Modeling noise levels due to traffic patterns
From:    David Mountain  <dcm@xxxxxxxx>
Date:    Mon, 26 Mar 2012 20:04:31 -0400

If you really want to get into traffic noise modeling, I suggest that you take a look at  the Federal Highway Administration (FHWA) Traffic Noise Model. The model itself may not be useful for your purposes but at least I think you will find that a lot of the concepts behind this model are useful. On Mon, Mar 26, 2012 at 4:57 PM, Hornsby, Benjamin Wade Young <ben.hornsby@xxxxxxxx> wrote: > > Hi All, > > The following is a query from a colleague (Wes Grantham) I am working with on this project. Any suggestions to get us going in the right direction are greatly appreciated. > > > > Thanks much, > > > > Ben > > > > ****** > > We are attempting to simulate or model the noise from multiple vehicles (say passing by a position on the street). This is in conjunction with our work with on how traffic noise contributes to overall noise pollution in various street situations (from busy intersections to residential neighborhoods). > > > > We are starting by simply adding the intensities of single vehicles as they arrive at the measurement point, taking into account their distances and making an assumption about the attenuation per doubling of distance (a maximum of 6 dB would correspond to an anechoic background; presumably a normal street scene with reflecting objects would have a smaller attenuation per doubling of distance). We have thought about modeling the effects of a single building, and how the reflections from that building would affect the overall sound level. Also, we intend to model the occurrence of individual vehicles (perhaps using a poisson process?), and build into the model such parameters as number of lanes, average velocity of the vehicles, distance of the measurement point from the street, and average traffic density). > > > > Does anyone have any references for work that have done this type of modeling? We have not ventured into this area before and want to make sure we're on the right track before going too far. > > > > Thank you. > > > > -- David C. Mountain, Ph.D. Professor of Biomedical Engineering Boston University 44 Cummington St. Boston, MA 02215 Email:   dcm@xxxxxxxx Website: Phone:   (617) 353-4343 FAX:     (617) 353-6766 Office:  ERB 413

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Electrical Engineering Dept., Columbia University