Tire–pavement interaction noise (TPIN) accounts mainly for traffic noise, a sensitive parameter affecting the eco-based maintenance decision outcome. Consistent methods or metrics lab and field pavement texture evaluation are lacking. TPIN prediction based on structural material characteristics is not yet available. This paper used 3D point cloud data scanned from specimens road to conduct corr...

Maintaining and rehabilitating pavement in a timely manner is essential for preserving or improving its condition, with roughness being critical factor. Accurate prediction of road vital component sustainable transportation because it helps planners to develop cost-effective maintenance rehabilitation strategies. Traditional statistical methods can be less effective this purpose due their inher...

Stone pavements are the historical, architectural, and cultural heritage of lots cities in Italy world. Road managers should be able to make decisions on global conditions define most suitable strategies maintenance interventions for every type pavement. There no standard monitoring methods or criteria evaluating stone pavement performance. These have more uneven surfaces than traditional pavem...

This study is a new assessment of damaged roads after the Kumamoto earthquake in southern Japan (2016) using remotely sensed synthetic aperture radar (SAR) data, field data and deep learning. Three SAR images from descending orbits Sentinel-1 VV (vertical-vertical) polarizations are considered for radiometric calibration, geocoding interferometric analyses. Field terms IRI (international roughn...

Pavement roughness serves as a crucial indicator for evaluating road performance. However, traditional measurement methods, such laser detection vehicles, are limited to providing values single profile, failing capture the overall pavement condition comprehensively. To address this limitation, study utilized high-precision light and ranging technology (LiDAR) acquire three-dimensional point clo...

Measuring the value of road performance requires an emphasis on optimal demand. In Indonesia, pavement assessment is sole basis for evaluating value. However, not solely determined by performance, as shoulder and drainage systems also influences it. This study aims to create a evaluation model that quantitative in nature, taking into account both frequency size damages shoulders systems. To con...

The unusually deep and extended solar minimum of cycle 23/24 made it very difficult to predict the solar indices 1 or 2 years into the future. Most of the predictions were proven wrong by the actual observed indices. IRI gets its solar, magnetic, and ionospheric indices from an indices file that is updated twice a year. In recent years, due to the unusual solar minimum, predictions had to be co...

The International Reference Ionosphere (IRI) project was established jointly by the Committee on Space Research (COSPAR) and the International Union of Radio Science (URSI) in the late sixties with the goal to develop an international standard for the specification of plasma parameters in the Earth’s ionosphere. COSPAR needed such a specification for the evaluation of environmental effects on s...

The International Reference Ionosphere (IRI) is an empirical model widely used to describe ionospheric characteristics. In the previous research, high-precision total electron content (TEC) data derived from global navigation satellite system (GNSS) were adjust index IG12 as a driving parameter in standard IRI model; thus, errors between IRI-TEC and GNSS-TEC minimized, was calibrated by modifyi...