Scene visualisation system development for noise modelling
Noise pollution is a cause for concern, especially since it has detrimental health effects. Due to Singapore’s limited geographical size and rising population density, gas stations, roads, and even expressways are built close to residential neighbourhoods. Noise pollution in such areas is a signi...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2022
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Online Access: | https://hdl.handle.net/10356/162929 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | Noise pollution is a cause for concern, especially since it has detrimental health
effects. Due to Singapore’s limited geographical size and rising population density,
gas stations, roads, and even expressways are built close to residential
neighbourhoods. Noise pollution in such areas is a significant problem, as a result of
frequent traffic on these routes, especially during rush hours. The purpose of this
project is to create a pipeline from a scene simulation to modelling noise
propagation. This project aims to develop a scene modelling platform that will help
bridge the gap between scene and noise modelling. It also aims to investigate
different noise barriers and their effectiveness against vehicular noise pollution.
There are 3 main components of this paper: 1. Data preprocessing and exploratory
analysis of the scene data. 2. Design methodology and implementation of the scene
modelling platform. 3. Noise propagation experiments and evaluations.
In component 1, retrieval of scene data such as trees and buildings is explained. Data
from trees were crawled from TreesSG, while data from buildings were a
combination of HDB as well as OSM buildings data. These datasets were then
analysed, and preprocessed to suit the scene modelling platform, as well as for noise
modelling.
In component 2, the design methodology is explained, with figures such as a system
architecture diagram, a use case diagram, and a dialog map. There are also
descriptions of the functional and non-functional requirements, as well as figures of
the system’s interface. The platform is developed such that the scene data from
component 1 is inserted and visualised, enabling exportation of data to a format
suitable for component 3.
In component 3, several experiments that were carried out in a controlled
environment using NoiseModelling tool and are discussed and analysed. These
experiments examine how different noise barriers, tree shapes and tree properties
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affect noise propagation to buildings. There is also an evaluation of noise
propagation using real-world data. These experiments and evaluations were carried
out to determine the most practical and efficient methods for mitigating vehicular
noise pollution in residential areas. |
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