利用 Roadroid 调查工具的 SDI 和 IRI 方法对道路状况评分进行比较分析

Novan Rezki Utama, J. Arliansyah, Edi Kadarsah
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引用次数: 0

摘要

良好的道路基础设施对城市的经济发展起着重要作用。因此,政府必须每年维护和改善道路状况,以帮助吸引投资,最终实现整体经济增长。目前,道路状况的调查和评估都是通过人工方法进行的,采用的是路面状况指数(SDI),由于道路数量众多,这种方法既耗时又昂贵。为了解决这个问题,需要一种快速、经济高效的替代调查方法,例如使用 Roadroid 应用程序的国际粗糙度指数 (IRI) 方法。Roadroid 是一种安装在智能手机上的应用程序,然后将其安装在汽车挡风玻璃上,在汽车行驶过程中记录道路状况。本研究旨在比较 Roadroid 应用程序和人工调查方法在识别巴伦邦市 1204 条道路的路况方面所节省的时间和成本。在这项研究中,Roadroid 应用程序的结果与 SDI 方法的路况评估结果进行了比较。结果显示,人工调查和 Roadroid 应用程序获取路况所需的时间分别为 37.313 分钟和 4.123 分钟。人工调查和使用 Roadroid 应用程序获取路况所需的成本分别为 290.937 000 印尼盾和 68.006 000 印尼盾。此外,对 SDI 和 IRI 方法的路况评估结果进行比较后发现,两者的平均差异为 24.86%,因此可以得出结论,使用 Roadroid 的 IRI 方法获得的路况与 SDI 方法获得的路况具有很高的准确性。从结果可以得出结论,使用 Roadroid 应用程序获取路况比人工勘测更有效、更高效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis Perbandingan Nilai Kondisi Jalan Menggunakan Metode SDI dan IRI Dari Alat Survei Roadroid
Good road infrastructure plays an important role in the economic development of a city. Therefore, the government must maintain and improve road conditions yearly to help attract investment and ultimately lead to overall economic growth. Presently, road condition surveys are conducted and assessed using the manual method with the Surface Distress Index (SDI), which is time-consuming and expensive due to the large number of access roads. In order to address this issue, a fast and cost-effective alternative survey approach is required, such as the International Roughness Index (IRI) method using the Roadroid application. Roadroid is an application installed on a smartphone and then attached to a car's windshield to record road conditions while the car is in motion. This study aims to compare the use of the Roadroid application with the manual survey method in terms of time and cost efficiency in identifying road conditions in the city of Palembang, which has 1204 roads. In this study, the Roadroid application results is compared to the road condition assessment results from the SDI methods. The results showed that the time required to obtain road conditions with manual survey and Roadroid application was 37.313 minutes and 4.123 minutes, respectively. The cost required to obtain road conditions was IDR 290.937.000 and IDR 68.006.000 for manual surveys and using the Roadroid application, respectively. Furthermore, the comparison of road condition assessment results between the SDI and IRI methods showed that they have average mean differences of 24.86%, so it can be concluded that the road conditions obtained in the IRI method using Roadroid have high accuracy with the conditions in the SDI method. From the results, it can be concluded that using the Roadroid application to obtain road conditions is more effective and efficient than manual surveys.
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