A model of interrupted road traffic noise

Makarewicz, Rufin; Fujimoto, Masanori; Kokowski, Piotr

doi:10.1016/s0003-682x(98)00029-2

Cited by 16 publications

(7 citation statements)

References 6 publications

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“…Instantaneous sound pressure levels at a given reception point are obtained by considering each vehicle as a mobile line source. Based on this approach, a few studies attempt to derive equivalent sound pressure formula in terms of the number of freely-moving and stopping vehicles (Makarewicz et al, 1999) or the number of queuing vehicles at traffic signals (Stoilova and Stoilov, 1998). Contrary to static noise procedures, analytic models account for single vehicle dynamics (i).…”

Section: Introductionmentioning

confidence: 99%

Improving noise assessment at intersections by modeling traffic dynamics

Chevallier

Can

Nadji

et al. 2009

Transportation Research Part D: Transport and Environment

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Three families of road noise prediction models can be distinguished depending on the way they account for traffic flow. Static noise models only consider free-flow constant-speed traffic with uniformly distributed vehicles. Analytic noise models assume that all vehicles are isolated from one another but account for their mean kinematic profile over the network. Micro-simulation noise models relax the hypothesis of no interaction between vehicles and fully capture traffic flow dynamic effects such as queue evolution. This study compares the noise levels obtained by these three methodologies at signalized intersections and roundabouts. It reveals that micro-simulation noise models outperform the other approaches. Particularly, they are able to capture the effects of stochastic transient queues in undersaturated conditions as well as stop-and-go behaviors in oversaturated regime. Accounting for traffic dynamics is also shown to improve predictions of noise variations due to different junction layouts. In this paper, a roundabout is found to induce a 2.5dB(A) noise abatement compared to a signalized intersection in undersaturated conditions while the acoustic contributions of both kinds of junctions balance in oversaturated regime.

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Section: Introductionmentioning

confidence: 99%

Improving noise assessment at intersections by modeling traffic dynamics

Chevallier

Can

Nadji

et al. 2009

Transportation Research Part D: Transport and Environment

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“…This allows to model various cases, although due to numerous assumptions and simplifications, the accuracy of these calculations is often far lower than that of empirical models. Such models for intersections were designed by: • Makarewicz -a model which introduces an additional factor related to the traffic dynamics and the drivers' driving style (careful, normal, aggressive), and allows to take into account the influence of acceleration and deceleration in vehicle movement and the speed in normal movement [16]. Makarewicz also designed a model of predicting the noise level in the vicinity of roundabouts, which uses significant simplifications such as uniform movement of vehicles in the entire intersection, traffic volume and its distribution identical at all entries, all vehicles stopping and starting their movement from the central point of the intersection with constant values of acceleration and deceleration during movement [17].…”

Section: Introductionmentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Motylewicz,

Gardziejczyk

2020

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The existing traffic noise prediction models in road intersections relate mainly to the typical solutions of intersection geometry and traffic organisation. There are no models for large and more complex intersections such as signalised roundabouts. This paper presents the results of studies on the development of a traffic noise prediction model for this type of intersection. The model was developed using a multiple regression method based on the results of field measurements of traffic parameters and noise levels in the vicinity of signalised roundabouts in Poland. The obtained model consists of two groups of variables affecting noise levels at the intersection. The first group determines in detail the inf luence of traffic and geometry of the closest entry. The second group shows the inf luence of more distant noise sources (traffic at the three remaining entries of the intersection) and the inf luence of the dimensions of the entire intersection. The developed model was verified through additional field measurements, as well as compared to the results of two methods of traffic noise prediction: the French 'NMPB-Routes-2008' and the German 'RLS-90'. The obtained results confirmed a higher accuracy of calculations performed using the developed model in the range of: −1.2 dB ÷ +1.0 dB, while the 'NMPB-Routes-2008' and 'RLS-90' calculate precision were respectively: −2.8 dB ÷ +1.3 dB, and + 0.8 dB ÷ +5.2 dB. Therefore, the developed model allows for a more accurate prediction of noise levels in the vicinity of signalised roundabouts in a f lat terrain without buildings and noise barriers.

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“…Os modelos de predição assim obtidos diferenciam-se de modelos correntes encontrados na literatura, que utilizam regressão logarítmica e não utilizam intervalos de classe de ruído (BURGESS, 1977;DBV, 1990;MAKAREWICZ, 1998;MAKAREWICZ et al, 1999;SUKSAARD et al, 1999;STEELE, 2001;CALIXTO et al, 2003;ALVES FILHO et al, 2004;CALIXTO et al, 2008).…”

Section: Introductionunclassified

Avaliação Do Ruído De Tráfego Noturno – Estudo De Caso Na Cidade De Curitiba, Brasil

Paz¹,

Zannin

2014

Ra'e Ga

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ResumoO ruído é um dos mais importantes poluidores ambientais, por isto sua quantificação se faz necessária. As imissões sonoras noturnas geradas por um trecho urbano de uma rodovia brasileira, foram avaliados através de medições in situ. A partir dos dados coletados foi elaborada uma modelagem matemática para alguns descritores acústicos como o nível sonoro equivalente Leq, e para os níveis sonoros estatísticos L10, L50 e L90, em função da correlação destes entre si e com variáveis de tráfego, para cálculo de níveis sonoros no período noturno. As variáveis de trafego utilizadas foram: número de veículos leves (LV); número de veículos pesados (HV); número total de veículos (TV); fluxo de veículos leves por hora (LF); fluxo de veículos pesados por hora (HF); fluxo total de veículos por hora (TF); porcentagem de veículos pesados (PHV); e porcentagem de veículos leves (PLV). Os modelos desenvolvidos apresentam três características: a) são para aplicação ao ruído de tráfego noturno, b) para a aplicação de regressão linear e não logarítmica, c) e para a aplicação de intervalos de classe para descrever a complexidade da faixa dinâmica de imissões sonoras, desde os níveis mais baixos até os mais elevados. Verificou-se que para amostras grandes (n > 30) e predição do valor do nível sonoro equivalente (Leq), a avaliação com intervalos de classe de ruído é a mais indicada.

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A model of interrupted road traffic noise

Cited by 16 publications

References 6 publications

Improving noise assessment at intersections by modeling traffic dynamics

Improving noise assessment at intersections by modeling traffic dynamics

Bulletin of the Polish Academy of Sciences: Technical Sciences

Avaliação Do Ruído De Tráfego Noturno – Estudo De Caso Na Cidade De Curitiba, Brasil

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