摘要: |
Good road asset management relies to a large extent on the accuracy and frequency of road-condition data that is analysed in a PMS (pavement management system). It should rank the condition of the roads to identify appropriate remedial measures for allowing agencies to efficiently use maintenance funding. This paper focuses on the most cost-effective ways to obtain this essential data. It compares the techniques used in South Africa - based mainly on visual condition assessments - with more recently developed methods that enable a much more comprehensive and largely automated data collection. Three scenarios are compared in this paper: 1) Visual assessment 2) Falling weight deflectometer (FWD) measuring deflection together with automated roughness, rut depth, texture measurements and high-resolution digital imaging from a network survey vehicle (NSV) 3) Traffic speed deflectometer device (TSDD) to capture data including continuous deflection measurements, roughness, rut depth, automatic crack detection, imaging and texture in a single pass at traffic speeds. |