In the paper, a noise map service designated for the user interested in environmental noise is presented. Noise prediction algorithm and source model, developed for creating acoustic maps, are working in the cloud computing environment. In the study, issues related to the noise modelling of sound propagation in urban spaces are discussed with a particular focus on traffic noise. Examples of results obtained through a web application created for that purpose are shown. In addition, these are compared to results obtained from the commercial software simulations based on two road noise prediction models. Moreover, the computing performance of the developed application is investigated and analyzed. In the paper, a flowchart simulating the operation of the noise web-based service is presented showing that the created application is easy to use even for people with little experience in computer technology.
A noise prediction model of a large city agglomeration was elaborated in order to allow for a dynamic road traffic density estimation in vehicular networks. The implemented application adopts the model fed with traffic noise data based on frequently refreshed LDEN levels. Calculations were made with the use of the numerical model developed for his purpose and then implemented on the PL-Grid supercomputing infrastructure. Data obtained through supercomputing and through the use of a standard noise map computing software were collated with measured levels acquired from the acoustic city monitoring system and then analyzed. The comparison performed afterwards shows a relatively good accuracy of the developed model. The numerical model of traffic noise and its main sources are briefly characterized. A full day dynamic noise map can be browsed as a set of 24 noise maps, one for each hour of the day which in turn allows for vehicular traffic density estimation based exclusively on acoustical data. [Research was subsidized by the Polish National Centre for Research and Development within the Grant No. OT4-4B/AGH-PG-WSTKT.]
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