DocumentCode :
3068433
Title :
An efficient method of predicting traffic noise using GIS
Author :
Jianghua Zhao ; Qiming Qin ; Chao Xie ; Jianhua Wang ; Qingye Meng
Author_Institution :
Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
3634
Lastpage :
3637
Abstract :
Nowadays, Geographic Information Systems (GIS) has been widely applied in traffic noise prediction to manage the spatial data and to realize the visualization of noise levels. But the common method we use to calculate the noise level of traffic has to sum up the noise levels of all the road segments logarithmically and that is really time-consuming. In order to accelerate the calculation process, a method of filtering road segments using GIS is proposed in this paper. This method focuses on selecting out the road segments which contribute the most to the noise level at the sensitive point. This approach can increase the computational efficiency in a large degree. Finally, this method is validated and proven to be accurate and efficient.
Keywords :
buffer storage; data visualisation; geographic information systems; information filtering; road traffic; spatial data structures; traffic engineering computing; GIS; computational efficiency; geographic information systems; noise level visualization; road segments filtering; spatial data management; traffic noise level prediction; Abstracts; Noise; Observers; Roads; GIS; Traffic noise prediction; buffer analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723617
Filename :
6723617
Link To Document :
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