基于二值图像的道路交通噪声快速绘图法

IF 7.3 1区 工程技术 Q1 ENVIRONMENTAL STUDIES
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引用次数: 0

摘要

一般来说,在生成噪声地图时,会采用韦勒-阿瑟顿算法进行多边形交叉计算,以估算建筑物的阻挡衰减。然而,对于较大的区域,这种方法的计算效率在很大程度上取决于计算能力和昂贵的硬件。为了应对这些挑战,我们的方法采用二值图像来简化建筑物多边形与噪声传播路径之间交集面积的计算,从而提高计算效率。所提出的方法有两个特点:将多边形形状文件转换为二进制图像,然后应用布雷森纳姆算法计算建筑物遮挡衰减。我们的研究表明,这种方法将计算时间减少到原来的 39.1%,两种方法之间的平均绝对差异为 0.77 dB(A)。通过利用建议的方法生成精度相当的噪声地图,我们的方法提供了一种有吸引力的替代方法,降低了硬件要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapid method for binary image-based road traffic noise mapping

Generally, when generating noise maps, the Weiler-Atherton algorithm is employed for polygon intersection calculations to estimate building obstruction attenuation. However, for larger areas, the computational efficiency of this method heavily depends on computational power and expensive hardware. To address these challenges, our method employs binary images to streamline the calculation of intersection area between the building polygon and the noise propagation path, thereby improving computational efficiency. The proposed method consists of two features: converting polygon shapefiles into binary images and subsequently applying the Bresenham Algorithm to calculate building occlusion attenuation. Our study demonstrated that this approach reduced the calculation time to 39.1 % of the original duration, with a mean absolute discrepancy between the two methods of 0.77 dB(A). By utilizing the proposed method to generate noise maps with comparable accuracy, our approach offers an attractive alternative that reduces hardware requirements.

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来源期刊
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.
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