Road Traffic Noise Prediction with Neural Networks-A Review
Kranti Kumar,Manoranjan Parida,Vinod Kumar Katiyar +2 more
- Vol. 2, Iss: 1, pp 29-37
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TLDR
This paper aims to summarize the findings of research concerning the application of neural networks in traffic noise prediction by focusing on review of various neural network models developed for road traffic noise Prediction.Abstract:
This paper aims to summarize the findings of research concerning the application of neural networks in traffic noise prediction. Noise is an environmental agent, regarded as a stressful stimulus. Noise exposure causes changes at different levels in living beings, such as the cardiovascular, endocrine and nervous system. Study of traffic noise prediction models began in 1950s to predict a single vehicle sound pressure level at the road side. After that, several traffic noise prediction models such as FHWA, CORTN, STOP and GO, MITHRA, ASJ etc. were developed depending upon various parameters and conditions. Complexity of error identification by means of classical approaches has led to researchers and designers to explore the possibility of neural solution to the problem of traffic noise prediction. Present study is focused on review of various neural network models developed for road traffic noise prediction.read more
Citations
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Journal ArticleDOI
Optimized height of noise barrier for non-urban highway using artificial neural network
TL;DR: Artificial neural network can be useful to determine the height of noise barrier accurately, which can effectively achieve the desired noise level reduction, for a given set of traffic volume, vehicular speed, highway geometry, and site conditions.
Dissertation
Noise Impact Assessment and Prediction in MinesUsing Soft Computing Techniques
TL;DR: Soft-computing system based noise prediction models were developed for predicting far far noise levels due to operation of specific set of mining machinery and it was observed that proposed soft-com computing models give good prediction results with accuracy.
Journal ArticleDOI
Application of Machine Learning to Include Honking Effect in Vehicular Traffic Noise Prediction
TL;DR: It has been observed that honking is an important parameter and contributes to the overall traffic noise, especially in congested Indian road traffic conditions, and it should be included as a parameter in the future traffic noise prediction models.
Journal ArticleDOI
Roadway traffic noise modelling in the hot hyper-arid Arabian Gulf region using adaptive neuro-fuzzy interference system
Sharaf AlKheder,Reyouf Almutairi +1 more
TL;DR: This paper predicts the traffic noise level on a ring road in Kuwait by using an adaptive neuro-fuzzy inference system (ANFIS) and can clearly be seen that a traffic noise control system can reduce traffic noise effectively.
Journal ArticleDOI
Modelling Tyre-Road Noise with Data Mining Techniques
Elisabete F. Freitas,Joaquim Agostinho Barbosa Tinoco,Francisco Emanuel Cunha Soares,Jocilene Otilia da Costa,Paulo Cortez,Paulo A. A. Pereira +5 more
TL;DR: The research aimed to establish tyre-road noise models by using a Data Mining approach that allowed to build a predictive model and assess the importance of the tested input variables and found that Speed, Temperature, Aggregate size, Mean Profile Depth, and Damping had the highest importance, even though influenced by speed.
References
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Book
Neural Networks And Learning Machines
TL;DR: Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together.
Journal ArticleDOI
A review of neural networks applied to transport
TL;DR: It is postulated that a more rigorous approach to matters such as comparison with other techniques and also the methodology used to design the neural networks would help a clearer picture to emerge as to best practice and future research directions.
Journal ArticleDOI
A critical review of some traffic noise prediction models
TL;DR: In this article, the authors present a review of traffic noise prediction models and the desiderata for these models and discuss several commonly used models and others under development, as well as some new models with different spectra.
Journal ArticleDOI
Nocturnal road traffic noise: A review on its assessment and consequences on sleep and health.
TL;DR: In assessing sleep disturbances, the domain might benefit from additional longitudinal studies on deleterious effects of noise on mental health and general well-being, as well as methodological aspects in the study of noise and sleep.