Research On Road Traffic Parameter Extraction And Noise Field Simulation Based On UAV

Visualization of road traffic noise is a way to visualize the impact and distribution of road traffic noise.Noise field simulation visualization has great advantages in the prediction and evaluation of the acoustic environment of new or proposed roads,the design of sound barriers,and the exploration of large-scale noise field laws.However,the current data collection methods for road environment parameters and traffic flow parameters required for noise field simulation are primitively inefficient and difficult,and the acquisition cost is high.In this paper,UAV is used as the main tool and platform,combined with oblique photography modeling technology to obtain road environment parameters,and the extraction of road traffic flow parameters based on UAV aerial imagery is realized through yolov3 deep learning target detection algorithm and deepsort tracking algorithm.According to the different flight attitudes of the UAV and different scenarios of day and night,different recognition models are trained for adaptation,and the recognition accuracy rate is high,which provides data support for efficient and accurate road traffic noise field modeling and simulation.In this paper,the UAV is used as the platform to independently develop the spatial point noise data acquisition equipment.The A-weighted equivalent sound pressure value of the spatial point is finally obtained through sampling noise reduction and A-weighted filtering algorithm.This paper takes Qingshui Xiyuan Community as the research area.UAV collects road environmental parameters and traffic flow parameters,establishes a visual simulation model,and conducts day and night acoustic environment evaluation of the community.The results show that the acoustic environment of buildings on the outermost side of the community near the expressway meets the standard during the day,but the noise value at night exceeds the standard,thus measures such as installing soundproof windows should be taken.The research results of traffic flow influence factors under the superimposed sound field of two expressways in this area show that the derivation formula based on the principle of sound field superposition can better reflect the influence relationship between traffic flow and noise under the superimposed sound field.