Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization

R Shi, X Xu, J Li, Y Li - Applied Soft Computing, 2021 - Elsevier
Accurate train arrival delay prediction is critical for real-time train dispatching and for the
improvement of the transportation service. This study proposes a data-driven method that …

Artificial intelligence based ensemble model for prediction of vehicular traffic noise

V Nourani, H Gökçekuş, IK Umar - Environmental research, 2020 - Elsevier
Vehicular traffic noise is the main source of noise pollution in major cities around the globe.
A reliable and accurate method for the estimation of vehicular traffic noise is therefore …

Modelling of traffic noise in the vicinity of urban road intersections

A Yadav, J Mandhani, M Parida, B Kumar - Transportation Research Part D …, 2022 - Elsevier
Traffic noise is continuously rising alongside roadways, especially at intersections, due to
rapid urbanization, eventually affecting acoustical climate and quality of life. This present …

A study on the assessment of traffic noise induced annoyance and awareness levels about the potential health effects among residents living around a noise-sensitive …

TA Gilani, MS Mir - Environmental Science and Pollution Research, 2021 - Springer
The present cross-sectional study aimed to evaluate the risk factors for traffic noise–induced
annoyance and also assess the awareness levels among the exposed population …

Sustainable hub location under mixed uncertainty

M Mohammadi, SA Torabi… - … Research Part E …, 2014 - Elsevier
This paper addresses a novel sustainable hub location problem (SHLP) in which two new
environmental-based cost functions accounting for air and noise pollution of vehicles are …

Vehicular traffic noise modeling using artificial neural network approach

P Kumar, SP Nigam, N Kumar - Transportation Research Part C: Emerging …, 2014 - Elsevier
In India, the transportation sector is growing rapidly and the number of vehicles on Indian
roads is increasing at a very fast rate leading to overcrowded roads and noise pollution. The …

[HTML][HTML] CFD modeling and multi-objective optimization of cyclone geometry using desirability function, artificial neural networks and genetic algorithms

K Elsayed, C Lacor - Applied Mathematical Modelling, 2013 - Elsevier
The low-mass loading gas cyclone separator has two performance parameters, the pressure
drop and the collection efficiency (cut-off diameter). In this paper, a multi-objective …

Comparison of classical statistical methods and artificial neural network in traffic noise prediction

V Nedic, D Despotovic, S Cvetanovic… - Environmental Impact …, 2014 - Elsevier
Traffic is the main source of noise in urban environments and significantly affects human
mental and physical health and labor productivity. Therefore it is very important to model the …

Time-series prediction of environmental noise for urban IoT based on long short-term memory recurrent neural network

X Zhang, M Zhao, R Dong - Applied Sciences, 2020 - mdpi.com
Noise pollution is one of the major urban environmental pollutions, and it is increasingly
becoming a matter of crucial public concern. Monitoring and predicting environmental noise …

[HTML][HTML] Noise pollution and health effects

S Geravandi, A Takdastan, E Zallaghi… - Jundishapur Journal of …, 2015 - brieflands.com
Background: Noise pollution is of particular importance due to the physical and
psychological effects on humans. Noise is a stressor that affects the autonomic nervous …