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

Abstract

The traffic noise map is an important tool for environmental noise management, whose update is notably necessary. A method to quickly update the noise map based on a few noise-monitoring data points is proposed to avoid recollecting regional traffic data and a large amount of noise monitoring. The noise-monitoring data of roads with monitoring are compared with the original noise data in the noise map to obtain the deviation, and the roads that share the similar characteristic as sound sources are clustered. The roads without monitoring are corrected by the average noise deviation of the road class whose characteristic as a sound source is close to the characteristic as a sound source. The update accuracy of this method is analyzed, and a formula to calculate the precision is proposed. Finally, experiments to verify the method and its accuracy are organized; the results show that the method accurately and rapidly updates the noise map.

Simulation and Analysis of Road Traffic Noise among Urban Buildings Using Spatial Subdivision-Based Beam Tracing Method

“…Constant exposure to noise will lead to health effects such as sleep disturbance [3,4,5], annoyance [6,7,8], cardiovascular effects [9], learning impairment [10,11], hypertension ischemic heart disease [12,13] and depressed mood [14]. Thus, it is important to avoid unwanted sound and particularly reduce reducing the noise exposure from the main sources: railway traffic [15], airports [16,17], industrial and ports [18,19] and road traffic [20]. Urban building areas which are usually with big road traffic, are the main places where people live and relax for most of the time.…”

Research on the Noise Pollution From Different Vehicle Categories in the Urban Area

“…Nowadays, the calculation of traffic noise has developed into noise mapping (Wang et al 2018); large-scale urban traffic noise maps can be drawn based on certain parameters, such as traffic volume and vehicle speed of the road network (Cai et al 2018). According to Cai et al (2017a) research, the convenience of traffic flow parameter acquisition makes it possible to draw the dynamic traffic noise maps or make a quick update to the noise maps according to the changes of traffic flow in urban area.…”

A Short Review of Constructing Noise Map Using Crowdsensing Technology

“…Giving an example, for noise map system update, Wei et al [23] proposed an updating method for dynamic noise map based on interpolation. Additionally, Cai et al [24,25] further investigated a large-scale three dimension system for rapidly updating road traffic noise map. To justify the need of inclusion of entertainment noise, recreational activities in strategic noise map is classified and modeled in [22].…”