Applications of Production Vehicle Road Roughness Data Before and After Pavement Construction
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https://purr.purdue.edu/publications/4398/1
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资源简介:
<p>Current quantitative methods to evaluate pavement conditions in the United States are most commonly focused on construction acceptance using the International Roughness Index (IRI).&nbsp; However, qualitative visual inspection techniques are still the most prevalent for routine asset management.&nbsp; The evolution of modern vehicles with factory-equipped sensors drive these roadways daily and can passively assess the condition of infrastructure at an accuracy level more definitively and ubiquitously than visual qualitative assessment. This video monitors 11 miles of roadway before and after a construction project with representative images to demonstrate the quality and accuracy of the data.&nbsp;This data was collected on March 28<sup>th</sup>, 2022 and December 8<sup>th</sup>, 2022. The provided dataset shows the mile marker, before-construction IRI value and after-construction IRI value from a production vehicle.</p>
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<p><iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/u22oGdQn794?si=NUYxOLv_glCHIUXl" title="YouTube video player" width="560"></iframe></p>
提供机构:
Purdue University Research Repository
创建时间:
2023-10-05



