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Noise emission corrections at intersections based on microscopic traffic simulation

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Author: Coensel, · Vanhove, F. · Logghe, S. · Wilmink, I. · Botteldooren, D.
Institution: TNO Bouw
Source:6th European Conference on Noise Control: Advanced Solutions for Noise Control, EURONOISE 2006, 30 May 2006 through 1 June 2006, Tampere, 1-7
Identifier: 463735
Keywords: Health Traffic Acoustics and Audiology · Correction factors · Macroscopic traffic models · Microscopic traffic simulation · Noise correction · Noise emissions · Noise mapping · Noise production · Road crossing · Traffic flow · Traffic intensity · Traffic modelling · Acoustic emissions · Acoustic variables control · Dynamics · Noise pollution · Regression analysis · Traffic control · Safe and Clean Mobility · Mobility


One of the goals of the European IMAGINE project, is to formulate strategies to improve traffic modelling for application in noise mapping. It is well known that the specific deceleration and acceleration dynamics of traffic at junctions can influence local noise emission. However, macroscopic traffic models do not always model intersections, and if they do, only the influence of intersections on travel time is incorporated. In these cases, it would be useful to know what increase or decrease in noise production can be expected at or near intersections. A correction factor for road crossings has been suggested in several national noise emission standards. The question is open whether such a correction factor should be included in future harmonized methods. In this paper, a case study is presented, consisting of a large set of microscopic traffic simulations and associated noise emission calculations, which provides some insight into the specific dynamics of the noise emission near different types of intersections. A spatial approach is used, in which inbound and outbound lanes are divided into deceleration, queuing and acceleration zones. Results from regression analysis on the numerical simulations indicate that meaningful relations between noise corrections and traffic flow parameters such as traffic intensity and composition can be deduced.