Selecting noise source and traffic representations that capture urban traffic noise dynamics

Considering traffic dynamics greatly improves noise estimation in urban area. This can be achieved by coupling a dynamic traffic model with both noise emission laws and sound propagation calculation. Determining the relevant noise source and traffic representations to estimate classical noise descriptors (LAeq and statistical descriptors) near traffic signals has been recently studied. This research topic is extended in this paper to more specific descriptors which are able to capture noise dynamics at the traffic signal scale, for usual urban traffic situations (upstream, in front of, and downstream a traffic signal) and different distances from the road (5.5, 10 and 15 m). It appears that 14m-line sources ensure an estimation of all descriptors with errors below 2 dB(A) if traffic dynamics is precisely described. Macroscopic and microscopic car-following models are both relevant to highlight noise dynamics triggered by the traffic signal, but some differences between those traffic representations are observed.

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Additional Info

Field Value
Source ISSN: 1610-1928
Author Can, Arnaud, Leclercq, Ludovic, Lelong, Joël
Maintainer CCSD
Last Updated May 6, 2026, 06:00 (UTC)
Created May 6, 2026, 06:00 (UTC)
Identifier hal-00951884
Language en
contributor Laboratoire d'ingénierie circulation transports (LICIT) ; Institut National de Recherche sur les Transports et leur Sécurité (INRETS)-École Nationale des Travaux Publics de l'État (ENTPE)
creator Can, Arnaud
date 2009-01-01T00:00:00
harvest_object_id a7367496-bcde-4819-bf0e-947faf94cde9
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-12-03T00:00:00
relation info:eu-repo/semantics/altIdentifier/doi/10.3813/AAA.918148
set_spec type:ART