Traffic noise evaluation at intersection using roadside light detection and ranging sensor

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment Pub Date : 2025-04-23 DOI:10.1016/j.trd.2025.104750

Yue Wang , Ciyun Lin , Bowen Gong , Hongchao Liu

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引用次数: 0

Abstract

Traffic noise significantly impacts public health, necessitating precise evaluation for effective monitoring, particularly at intersections. This study proposes a novel framework using roadside light detection and ranging (LiDAR) sensor to assess traffic noise, marking the first application of LiDAR-based background point cloud segmentation for noise evaluation. First, a point cloud segmentation method was introduced, leveraging integrated algorithms to identify buildings and vegetation. Then, a noise propagation model was developed, incorporating direct, diffractive, and reflective paths to evaluate environmental effects. In addition, noise attenuation by vegetation was quantified using point cloud density. Finally, noise maps were generated to visualize intersection noise levels. Experimental results demonstrated the segmentation method achieved an accuracy of 80.63%. The evaluation achieved a mean absolute error (MAE) of 1.24 dB and a coefficient of determination of 0.78 compared to sound level meter measurements, showcasing the model’s effectiveness and potential in evaluating traffic noise.

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基于路灯探测和测距传感器的交叉口交通噪声评价

交通噪音严重影响公共健康，需要进行精确评估以进行有效监测，特别是在交叉路口。本研究提出了一种利用路边光探测和测距（LiDAR）传感器评估交通噪声的新框架，标志着基于LiDAR的背景点云分割在噪声评估中的首次应用。首先，介绍了一种点云分割方法，利用综合算法识别建筑物和植被；然后，建立了噪声传播模型，结合直接、衍射和反射路径来评估环境影响。此外，利用点云密度量化植被对噪声的衰减。最后，生成噪声图，使交叉口噪声水平可视化。实验结果表明，该分割方法的分割准确率为80.63%。与声级计测量结果相比，评估的平均绝对误差（MAE）为1.24 dB，决定系数为0.78，显示了该模型在评估交通噪声方面的有效性和潜力。

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来源期刊

Transportation Research Part D-transport and Environment 工程技术-运输科技

CiteScore

14.40

自引率

9.20%

发文量

314

审稿时长

39 days

期刊介绍： Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution. We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.