A traffic-noise-map update method based on monitoring data

2017 ◽  
Vol 141 (4) ◽  
pp. 2604-2610 ◽  
Author(s):  
Ming Cai ◽  
Yifan Yao ◽  
Haibo Wang
Keyword(s):  
Traffic Noise ◽  
Monitoring Data ◽  
Noise Map

scholarly journals Urban Traffic Noise Maps under 3D Complex Building Environments on a Supercomputer

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Ming Cai ◽  
Yifan Yao ◽  
Haibo Wang
Keyword(s):  
Parallel Algorithm ◽  
Traffic Noise ◽  
Computing Time ◽  
Urban Traffic ◽  
Shielding Effect ◽  
Time Dynamic ◽  
Suppression Effect ◽  
Complex Building ◽  
Urban Traffic Noise ◽  
Noise Map

The complexity of the 3D buildings and road networks gives the simulation of urban noise difficulty and significance. To solve the problem of computing complexity, a systematic methodology for computing urban traffic noise maps under 3D complex building environments is presented on a supercomputer. A parallel algorithm focused on controlling the compute nodes of the supercomputer is designed. Moreover, a rendering method is provided to visualize the noise map. In addition, a strategy for obtaining a real-time dynamic noise map is elaborated. Two efficiency experiments are implemented. One experiment involves comparing the expansibility of the parallel algorithm with various numbers of compute nodes and various computing scales to determine the expansibility. With an increase in the number of compute nodes, the computing time increases linearly, and an increased computing scale leads to computing efficiency increases. The other experiment is a comparison of the computing speed between a supercomputer and a normal computer; the computing node of Tianhe-2 is found to be six times faster than that of a normal computer. Finally, the traffic noise suppression effect of buildings is analyzed. It is found that the building groups have obvious shielding effect on traffic noise.

Updated traffic noise map method based on speed cluster

2021 ◽  
Vol 175 ◽  
pp. 107818
Author(s):  
Wangxing Xue ◽  
Zhaofeng Huang ◽  
Bangtao Zhao ◽  
Weijun Yang ◽  
Ziqin Lan ◽  
...  
Keyword(s):  
Traffic Noise ◽  
Noise Map

scholarly journals Reduction in Calculated Uncertainty of a Noise Map by Improving the Traffic Model Data Through Two Phases

2011 ◽  
Vol 97 (5) ◽  
pp. 761-768 ◽  
Author(s):  
M. Ausejo ◽  
M. Recuero ◽  
C. Asensio ◽  
I. Pavón
Keyword(s):  
Input Data ◽  
Road Traffic ◽  
Traffic Noise ◽  
Traffic Model ◽  
Road Traffic Noise ◽  
Noise Emission ◽  
The Road ◽  
Palma De Mallorca ◽  
Two Phases ◽  
Noise Map

The influence of applying European default traffic values to the making of a noise map was evaluated in a typical environment like Palma de Mallorca. To assess these default traffic values, a first model has been created and compared with measured noise levels. Subsequently a second traffic model, improving the input data used for the first one, has been created and validated according to the deviations. Different methodologies were also examined for collecting model input data that would be of higher quality, by analysing the improvement generated in the reduction in the uncertainty of the noise map introduced by the road traffic noise emission.

The Monitoring and Prevention of Traffic Noise in Urban Road

2014 ◽  
Vol 933 ◽  
pp. 1008-1013 ◽  
Author(s):  
Yong Xing Tong ◽  
Yong Qing Jiang ◽  
Zhen Zhou ◽  
De Zhong Ma
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Noise Pollution ◽  
National Standards ◽  
Pollution Monitoring ◽  
Monitoring Data ◽  
Space Distribution ◽  
Road Traffic Noise ◽  
Distribution Analysis ◽  
Harbin City

With the continuous development of social economy and urbanization in our country, noise pollution has become the fourth largest environment pollution in our country but water pollution, air pollution, solid waste pollution, which is the widest influence of traffic noise. In recent years, with the development of automobile industry and urban transportation, road traffic noise pollution in Harbin phenomenon is increasingly prominent, which seriously affected the People's daily life. Through detailed survey we found that the research on road traffic noise pollution situation in Harbin is very less, and part of the evaluation is not accurate. In this paper, firstly the characteristics of road traffic noise and noise evaluation index selection is discussed in detail. The xuefu road sections in Harbin city traffic noise and traffic noise pollution monitoring research in detail strict accordance with national standards. According to monitoring data of xuefu road traffic noise pollution source in time and space distribution analysis, the roughly the time distribution and spatial distribution of xuefu road traffic flow. By the overall analyzed monitoring data characteristic, the xuefu road traffic noise pollution is serious. According the previous analysis and research, the researchers find out the main factors influencing the xuefu road traffic condition, and we puts forward some countermeasures for the noise reduction. Through the study of this paper, that is to Harbin city xuefu road for the future of the road traffic noise monitoring and management work provide favorable basis, and it has good practical application value. It aimed at Harbin city road traffic noise control, urban planning and construction, provide theoretical basis for government decisions.

Design of a Noise Action Plan based on a Road Traffic Noise Map

2011 ◽  
Vol 97 (3) ◽  
pp. 492-502 ◽  
Author(s):  
M. Ausejo ◽  
M. Tabacchi ◽  
M. Recuero ◽  
C. Asensio ◽  
R. Pagán ◽  
...  
Keyword(s):  
Road Traffic ◽  
Action Plan ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Map

scholarly journals Predicting Hourly Traflc Noise from Traflc Flow Rate Model: Underlying Concepts for the DYNAMAP Project

Noise Mapping ◽  
2016 ◽  
Vol 3 (1) ◽  
Author(s):  
M. Smiraglia ◽  
R. Benocci ◽  
G. Zambon ◽  
H.E. Roman
Keyword(s):  
Traffic Flow ◽  
Flow Rate ◽  
Traffic Noise ◽  
Simple Analytical Model ◽  
Rate Model ◽  
Flow Rates ◽  
Dynamic Noise ◽  
The City ◽  
Noise Map ◽  
Good Agreement

AbstractThe DYNAMAP project aims at obtaining a dynamic noise map of a large residential area such as the City of Milan (Italy), by recording traffic noise from a limited number of noise sensors. To this end,we perform a statistical analysis of road stretches and group them into different clusters showing a similar measured hourly traffic noise behavior. In the sameway,we group simulated hourly traffic flow rates and compare their compositions with those of the traffic noise groups. The best agreement with the traffic noise was found by using the so-called normal traffic flow rate, yielding overlaps between 68 and 97%. Finally, we derive a simple analytical model to predict the hourly traffic noise from the simulated normal traffic flow, in very good agreement with the measured values.

scholarly journals Statistical Road-Traffic Noise Mapping Based on Elementary Urban Forms in Two Cities of South Korea

2021 ◽  
Vol 13 (4) ◽  
pp. 2365
Author(s):  
Phillip Kim ◽  
Hunjae Ryu ◽  
Jong-June Jeon ◽  
Seo Il Chang
Keyword(s):  
Urban Form ◽  
Road Traffic ◽  
Traffic Noise ◽  
Ordinary Least Squares ◽  
Urban Morphology ◽  
Road Traffic Noise ◽  
Noise Levels ◽  
Essential Information ◽  
Urban Forms ◽  
Noise Map

Statistical models that can generate a road-traffic noise map for a city or area where only elementary urban design factors are determined, and where no concrete urban morphology, including buildings and roads, is given, can provide basic but essential information for developing a quiet and sustainable city. Long-term cost-effective measures for a quiet urban area can be considered at early city planning stages by using the statistical road-traffic noise map. An artificial neural network (ANN) and an ordinary least squares (OLS) model were developed by utilizing data on urban form indicators, based on a 3D urban model and road-traffic noise levels from a normal noise map of city A (Gwangju). The developed ANN and OLS models were applied to city B (Cheongju), and the resultant statistical noise map of city B was compared to an existing normal road-traffic noise map of city B. The urban form indicators that showed multi-collinearity were excluded by the OLS model, and among the remaining urban forms, road-related urban form indicators such as traffic volume and road area density were found to be important variables to predict the road-traffic noise level and to design a quiet city. Comparisons of the statistical ANN and OLS noise maps with the normal noise map showed that the OLS model tends to under-estimate road-traffic noise levels, and the ANN model tends to over-estimate them.

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