Road traffic noise mapping based on aerial photographs - sound power level determination of road vehicles

2021 ◽  
Vol 263 (1) ◽  
pp. 5523-5527
Author(s):  
Shinichi Sakamoto ◽  
Taiki Fukuda ◽  
Miki Yonemura ◽  
Hyojin Lee
Keyword(s):  
Road Traffic ◽  
Power Level ◽  
Traffic Noise ◽  
Traffic Volume ◽  
Aerial Photographs ◽  
Road Traffic Noise ◽  
Sound Power ◽  
The Road ◽  
Sound Power Level ◽  
Traveling Speed

As the first step to obtain a city urban area noise map of road traffic noise, sound power levels of vehicles on the roads should be accurately estimated over a wide area. In Japan, ASJ RTN-Model 2018 was proposed as the representative road traffic noise prediction model, and by using the model sound power level of a vehicle can be determined if the vehicle type, traveling speed, and driving mode are known. As such data on urban road network, the Ministry of Land, Infrastructure and Transport of Japan publishes the road traffic census including road traffic volume and travel speed of major roads in Japan. The data, however, is limited to major roads and there is no data on minor roads. In this study, to estimate noise condition and situation on arbitrary road, a method for estimating the traveling speed and the traffic volume of vehicles on the road from aerial photographs was examined. Road traffic noise levels along several roads in Tokyo were analyzed by the proposed method and the validity of the calculation results were verified by comparing with short-time measurement results obtained along the target roads.

scholarly journals A simulation of traffic noise emissions at a roundabout based on a cellular automaton model

Acta Acustica ◽  
2021 ◽  
Vol 5 ◽  
pp. 42
Author(s):  
Canyi Du ◽  
Xinfa Qiu ◽  
Feng Li ◽  
Ming Cai
Keyword(s):  
Cellular Automaton ◽  
Road Traffic ◽  
Power Level ◽  
Traffic Noise ◽  
Traffic Volume ◽  
Sound Power ◽  
Noise Emission ◽  
Urban Road ◽  
Speed Distribution ◽  
Sound Power Level

The calculation and evaluation of traffic noise is an important task in urban road design. Roundabouts are a common form of urban road intersection. The complexity of traffic operations makes the calculation of traffic noise near a roundabout challenging. To explore traffic noise at roundabouts, a cellular automaton traffic flow model for a two-lane roundabout is established. Based on this model, a dynamic simulation method for traffic noise at roundabouts is proposed. The traffic operation and noise emissions at a roundabout are simulated. The vehicle speed distribution and traffic noise distribution at the roundabout are analysed, and the relationship between the traffic volume and sound power level of the cells is discussed. Finally, the proposed method is compared with existing traffic noise models, and the accuracy and efficiency of the proposed method are verified. The results of this paper show that the speed distribution and noise emission distribution at the roundabout are not uniform. When the traffic volume increases to saturation, the noise emission on the ring road will not keep increasing, and the sound power level of the cells on the inner ring is approximately 2 dBA higher than that of the outer ring. The methods and results in this paper may be valuable for road traffic design and noise control.

scholarly journals Rapid Modeling Method for Road Traffic Noise Sources: A case study in Beijing

Noise Mapping ◽  
2015 ◽  
Vol 2 (1) ◽  
Author(s):  
L. Zhu ◽  
X. Li ◽  
C. Jiang ◽  
L. Liu ◽  
R. Wu ◽  
...  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Modeling Method ◽  
Model Parameters ◽  
Road Traffic Noise ◽  
Emission Model ◽  
Noise Sources ◽  
The Road ◽  
The Mean ◽  
Rapid Modeling

AbstractBased on the local road traffic conditions in Beijing, China, this contribution proposes a rapid modeling method for road traffic noise sources. Since establishing the standardized experiment fields are expensive, real roads are used to determine the road traffic noise emission model in the method. Due to the similarity in the urban structures in China and Japan, this paper uses the ASJ- 2013 model as a template and replaces its model parameters with the ones output by an optimization program which minimizes the sum of absolute errors between the predicted and the measured LAeq. Real road experiments are conducted to verify the effectiveness and feasibility of the modeling method. The mean error of the model deduced by the method and the ASJ-2013 model is respectively 0.4 dB and 2.6 dB, and the mean absolute error of the two models is respectively 1.1 dB and 2.6 dB. The results of the real road experiments show that the road traffic noise sources deduced by the method are more accurate to conduct local noise prediction than those of other models.

Social survey on the road traffic noise effect on the quality of life in Moroccan cities

2008 ◽  
Vol 123 (5) ◽  
pp. 3811-3811
Author(s):  
Weam Kharbaoui ◽  
Mohammed Garoum ◽  
Abdelaziz Bahoussa ◽  
Mohammed Rhachi
Keyword(s):  
Quality Of Life ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Social Survey ◽  
Noise Effect ◽  
The Road ◽  
On The Road

Acoustic Prediction Modeling and Sound Mapping of public transport users' exposure at a bus stop.

2021 ◽  
Vol 263 (2) ◽  
pp. 4058-4069
Author(s):  
Dayane Cristina Lima Estercio ◽  
Paulo Fernando Soares
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Sound Level ◽  
Road Traffic Noise ◽  
High Frequencies ◽  
Reference Models ◽  
The Road ◽  
Bus Stop ◽  
Specular Reflections ◽  
The City

The objective of this research is to develop a mathematical model to predict the road traffic noise level at the bus stop, to assess the level of noise that users of these urban facilities are exposed daily. To help assess the exposure and the environmental impact, sound mapping will be performed using the IMMI software. In the model, the calculation of direct paths and specular reflections and diffuse was adopted. The study was applied in three sections in the city of Maringá, Brazil. At each point, the user was simulated standing and sitting. The sound source was positioned on the axis of each strip, every five meters. In total, 5124 readings of source positions were evaluated in 84 measured points. For the validation, the Anderson-Kurze, Kang, Yang and Zhang, Bistafa and Naish model were applied, and then the t-Student test were applied. The results showed a correspondence between the developed model, the data of the measurements and the reference models in the range of 25 Hz to 10000 Hz, there was a greater variance between the models applied in the high frequencies. It is concluded that the model was able to estimate the sound level of the stretches evaluated.

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