Microsimulation based corrections on the road traffic noise emission near intersections

Urban noise mapping traditionally involves the use of at raffi cs imulation model, which is often based on the estimation of macroscopic traffi cflows.However, intersections and other local traffi cmanagement measures are not always modeled correctly.Itiswell known that the specificdeceleration and acceleration dynamics of traffi c at junctions can influence local noise emission.Finding the best strategy for using traffi cmodeling results in noise mapping is acurrent topic of research in the IMAGINE project.In this paper,acase study is presented, consisting of alarge set of microscopic traffi csimulations and associated noise emission calculations, which provides some insight into the specificd ynamics of the noise emission near diff erent types of intersections.It will be shown that it is possible to refine current traffi cnoise prediction models, based on macroscopic traffi csimulation, using ac orrection on the average vehicle emission, aggregated in lane segments.As patial approach should be used, in which inbound and outbound lanes are divided into deceleration, queuing, stopline and acceleration zones.Results from regression analysis on the numerical simulations indicate that meaningful relations between noise corrections and traffi cflow parameters such as traffi cintensity and composition can be deduced.