Results 11 to 20 of about 31,722 (259)
A simulation of traffic noise emissions at a roundabout based on a cellular automaton model
Acta Acustica, 2021 The calculation and evaluation of traffic noise is an important task in urban road design. Roundabouts are a common form of urban road intersection. The complexity of traffic operations makes the calculation of traffic noise near a roundabout challenging.
Du Canyi, Qiu Xinfa, Li Feng, Cai Ming
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Validation of traffic noise models [PDF]
AIP Conference Proceedings, 2019 The paper presents the analysis results of traffic flow measurements recorded by road traffic and noise monitoring station. The station is located in a medium size town in Poland (Kielce) situated at the national road to Cracow. The traffic flow was measured over the period between January and December 2013 for twenty four hours a day. The measurements
Andrzej Bąkowski +3 more
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Modelling of road traffic noise [PDF]
MATEC Web of Conferences, 2018 Effective implementation of the EC Communication relating to urban mobility is dependent on adopting relevant indicators that will allow comprehensive assessment of the measures undertaken under the urban mobility plan. One of the fundamental parameters for this assessment is the equivalent sound level indicator, measured over the 24-hour period, used ...
Bąkowski Andrzej +2 more
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Statistical model for traffic noise prediction in signalised roundabouts [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2020 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
M. Motylewicz, W. Gardziejczyk
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Statistical modeling of traffic noise at intersections in a mid-sized city, India
Noise Mapping, 2023 The modeling of traffic noise is more debated around intersections due to traffic flow and road geometry complexity. The available intersection-specific traffic noise models cannot be transferred to predict the traffic noise at intersections in the mid ...
Yadav Adarsh +2 more
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Traffic Noise Prediction Applying Multivariate Bi-Directional Recurrent Neural Network
Applied Sciences, 2021 With the drastically increasing traffic in the last decades, crucial environmental problems have been caused, such as greenhouse gas emission and traffic noise pollution. These problems have adversely affected our life quality and health conditions.
Xue Zhang, Helmut Kuehnelt, Wim De Roeck
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Parameter analysis and Reliability Evaluation of Road Traffic Noise Prediction Model for Highway Traffic Noise Evaluation [PDF]
대한환경공학회지, 2022 The purpose of this study is to evaluate the reliability of prediction models(KHTN, RLS-90, CRTN, NMPB-08) that are widely used in road traffic noise analysis.
Jewon Yoon +4 more
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Towards Traffic Situation Noise Emission Models [PDF]
Acta Acustica united with Acustica, 2011 This article proposes a methodology to account for vehicle kinematics in a fast and efficient way when using single vehicle noise emission models such as the Harmonoise/Imagine, Nord2000 or NMPB. A model is built, which mimics the traffic situation emission models developed in the field of airborne pollutants research.
Can, Arnaud, Botteldooren, Dick
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Energy Reports, 2020 Urban noise depends on several factors from which Traffic Noise is the most important. City centers and main access roads are usually over exposed that is, average day–evening–night noise level [LDEN] and/or rest expose level [LNIGHT] surpasses a ...
R. Calejo Rodrigues
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Statistical analysis based on a two-staged SEM-SVM approach for environmental noise annoyance prediction and identification of influencing factors [PDF]
International Journal of Human Capital in Urban ManagementBACKGROUND AND OBJECTIVES: Noise pollution is an environmental stressor that is mainly caused due to heavy transportation in urban scenarios. Traffic noise is a growing concern in urban environments, impacting public health and well-being.
M. Rehman, M. Kamal, S. Tiwari
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