原文传递 Improving Traffic Safety through Better Snow Fences: Image-Based Methods to Measure Trapped Snow Volume and the Snow Relocation Coefficient, Tech Transfer Summary
题名: Improving Traffic Safety through Better Snow Fences: Image-Based Methods to Measure Trapped Snow Volume and the Snow Relocation Coefficient, Tech Transfer Summary
作者: Muste, M.; Constantinescu, G.; Rehmann, C.
关键词: Traffic safety##3D photogrammetry##Particle tracking velocimetry##Snow drifting##Snowfall##Snow fence design##Snow relocation coefficient##
摘要: The primary objective of this research was to test a set of new, non-intrusive, image-based technologies that support the design and evaluation of snow fences by quantifying snowfall and snow drift fluxes. Technologies included particle tracking velocimetry (PTV) and large-scale particle image velocimetry (LSPIV) coupled with three-dimensional (3D) photogrammetry. This research also aimed to refine the use of close-range photogrammetry to provide a general methodology for non-intrusive remote estimation of snow deposit volumes using automated data acquisition protocols.
总页数: 3
报告类型: 科技报告
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