Potholes, a kind of road defect, can damage vehicles and negatively affect drivers' safe
driving, and in severe cases can lead to traffic accidents. Efficient and preventive …

With smartphones being so ubiquitous, more connected and largely fitted with several types
of sensors such as GPS, microphones, cameras, magnetometers, accelerometers, etc; there …

Road surface quality is essential for improving driving experience and reducing traffic
accidents. Traditional road condition monitoring systems are limited in their temporal …

Road surface roughness assessment plays an important role in transportation infrastructure
management. Many approaches have been proposed to assess road surface conditions …

In this paper, we propose a novel neural network structure and training and prediction
methods. We propose a novel deep neural network algorithm to detect road surface damage …

The inertial navigation system (INS) has been widely used to provide self-contained and
continuous motion estimation in intelligent transportation systems. Recently, the emergence …

The prevalence of smartphones among vehicle drivers presents exciting opportunities in
assessing pavement roughness in a more efficient and cost-effective manner, compared …

Purpose With the development of smart technologies, Internet of Things and inexpensive
onboard sensors, many response-based methods to evaluate road surface conditions have …

The purpose of the paper is to analyse the effectiveness of a solution known as road
condition tool (RCT) based on data crowdsourcing from smartphones users in the transport …

Modern mobile phones, featuring high performance microprocessors, rich set of sensors and
internet connectivity are largely diffused all over the world and are ideal devices for the …