Method for representing virtual sound of traffic noise map

Abstract

The invention discloses a method for representing a virtual sound of a traffic noise map. The method is an effective supplement for the present traffic noise map display technology. The method specifically comprises the following steps: acquiring noise audio frequency samples for reference distances of different vehicle models at different driving speeds on a practical road in the manner of audio frequency collection; digitally processing the noise audio frequency samples and storing at a background server side of the noise map; acquiring the position information and the noise data of representing points of the virtual sound in a front-end noise map; judging road sections influencing noise values of the representing points of the virtual sound and confirming vehicle model ratio and driving speed information data of the road sections; utilizing a random principle to perform digital audio sound mixing on the noise samples required by the representing points on the background server and converting a digital audio signal into an audio sound mixing file; and calling for and analyzing the audio sound mixing file by the front-end noise map, thereby realizing the virtual representing of the traffic noise. The method used for representing the virtual sound of the traffic noise map can overcome the defect that the traffic noise of the traditional noise map cannot be synchronously displayed.

Description

technical field [0001] The invention relates to the field of audio-visual integration of traffic noise maps, and more specifically, to a virtual sound reproduction method for traffic noise maps. Background technique [0002] Traffic noise maps are fundamental tools for noise assessment and prediction. At present, many countries and regions have released noise maps and launched a series of studies. Existing traffic noise maps are displayed in the form of numerical values ​​and images, through which users can clearly see the distribution of traffic noise and make corresponding evaluations. However, since the vast majority of people do not have an in-depth study of sound, simple sound decibels do not allow them to have an intuitive feeling of noise pollution; at the same time, the individual noise value is only used to describe the sound level and cannot reflect the traffic noise. frequency characteristics. Therefore, audio-visual integration is an important development dire...

AI Technical Summary

Problems solved by technology

However, since the vast majority of people do not have an in-depth study of sound, simple sound decibels do not allow them to have an intuitive feeling of noise pollution; at the same time, the individual noise value is only used to describe the sound level and cannot reflect the traffic noise. frequency characteristics

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