Study on Traffic Noise Map of Old City Zone in Increasing Modern City in China

Author(s):  
Zhilin Pan ◽  
Jianjun Zhu
Keyword(s):  
Old City ◽  
Author(s):  
NIKOS LAMBRINOS ◽  
Efthimios-Spyridon Georgiou

This project refers to the construction of a 3D map of Thessaloniki’s historical route. The Yedi Kule Conquest – Monument Road Race took place in the old city of Thessaloniki, which was built during the Byzantine and Ottoman period.  The purpose of this project is the digital recording of the castles, the monuments, the old churches, the traditional buildings, and the squares which are prime examples of the architectural beauty of the place. The methodology of the project is based on the online software Google Earth Studio and Adobe Premiere Pro. These are the tools of digitization, rendering, and building process of the animation. With this methodology, the authors achieved the documentation of land use and the architectural landscape. The animation is a credible graphic index of the historical background of Thessaloniki. The Yedi Kule area constitutes of a cultural mosaic made from different historic periods. The buildings and the neighbourhoods give the sense of transition of the narrow roads, the old Christian churches, the house of the first Turkish governor, and the byzantine castle to the modern city. In Thessaloniki, three historic periods coexist the Ancient Greek/Roman, the Byzantine, and Ottoman Empire. The responsibility of the governmental politics and of every citizen of Thessaloniki is to promote and preserve the historic background of the city. The final product offers a good opportunity for the digital storage of Thessaloniki’s old city. The animation creates an interactive environment that portrays the current image of the transition from the old to a modern city.


2017 ◽  
Vol 141 (4) ◽  
pp. 2604-2610 ◽  
Author(s):  
Ming Cai ◽  
Yifan Yao ◽  
Haibo Wang

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Ming Cai ◽  
Yifan Yao ◽  
Haibo Wang

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.


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

2011 ◽  
Vol 97 (5) ◽  
pp. 761-768 ◽  
Author(s):  
M. Ausejo ◽  
M. Recuero ◽  
C. Asensio ◽  
I. Pavón

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.


2011 ◽  
Vol 97 (3) ◽  
pp. 492-502 ◽  
Author(s):  
M. Ausejo ◽  
M. Tabacchi ◽  
M. Recuero ◽  
C. Asensio ◽  
R. Pagán ◽  
...  

Noise Mapping ◽  
2016 ◽  
Vol 3 (1) ◽  
Author(s):  
M. Smiraglia ◽  
R. Benocci ◽  
G. Zambon ◽  
H.E. Roman

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.


2021 ◽  
Vol 13 (4) ◽  
pp. 2365
Author(s):  
Phillip Kim ◽  
Hunjae Ryu ◽  
Jong-June Jeon ◽  
Seo Il Chang

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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