Roughness is widely used as a primary measure of pavement condition. It is also the key
indicator of the riding quality and serviceability of roads. The high demand for roughness …

Transportation networks are severely affected by natural hazards, including landslides. The
prioritization of maintenance works is required to preserve the efficiency and functionality of …

The surface conditions of road pavements, including the occurrence and severity of
distresses present on the surface, are an important indicator of pavement performance …

Human drivers take instant decisions about their speed, acceleration and distance from
other vehicles based on different factors including their estimate of the road roughness …

Deep learning is a fast-growing field of research, in particular, for autonomous application. In
this study, a deep learning network based on various sensor data is proposed for identifying …

In this study, a new, effective procedure is proposed for identifying the surface roughness
from the responses recorded of two connected test vehicles moving over the bridge. Central …

The assessment of the road roughness conditions plays an important role to ensure the
required performances related to road safety and ride comfort, furthermore providing a tool …

The vehicle suspension control unit serves as a critical component to the vehicle system, as
it ensures the steering stability and sound ride quality of the vehicle. To effectively realize …

Road roughness is an important factor in road network maintenance and ride quality. This
paper proposes a road-roughness estimation method using the frequency response function …

Suspension control systems are in need for more information of road roughness conditions
to improve their performance under different roads. Existing methods of gauging road …