A Before-and-After Traffic Noise Analysis of a Roundabout Converted to a Signalized Intersection

Abdur-Rouf, Khadija

doi:10.1007/s13369-022-06778-6

Cited by 5 publications

(1 citation statement)

References 22 publications

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“…Scholars have done detailed studies on the impact of traffic noise at the macro and micro levels of network characteristics. At the micro level: Abdur-Rouf K 8 compared the noise changes when intersection types were converted through simulations and field measurements and found that signalised intersections generated more traffic noise than roundabouts. Lu 9 demonstrated through macro and micro traffic simulations that frequent acceleration and deceleration of vehicles at traffic signals would aggravate intersection noise pollution, while road width was positively correlated with traffic noise.…”

Section: Introductionmentioning

confidence: 99%

Impact evaluation of different network planning concepts on traffic noise

Yuan

Wang

et al. 2023

Noise & Vibration Worldwide

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The purpose of this paper is to study the impact of road structure on traffic noise from an urban network planning perspective, to provide solutions to control and prevent traffic noise at source. The process is divided into three parts. Firstly, the stochastic user equilibrium model for traffic flow allocation is improved to be more accurate. Secondly, a global traffic noise simulation method is proposed for the network based on the noise prediction model, and the noise data is visualized. Finally, a noise evaluation system is established to study the traffic noise evolution patterns under different road structures. The results show that with the increase of network density, the traffic noise value of the network decreases. The layout of one-way roads will reduce the regional traffic noise value. The impact of road grade adjustments on traffic noise is positively correlated with the rate of change in road capacity. The study can provide an effective basis for control traffic noise from the network planning stage.

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Section: Introductionmentioning

confidence: 99%