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 …

Rapid measurements of large-scale pavement roughness have long been a hot topic in
pavement condition evaluation and maintenance. Most traditional methods rely on …

This paper proposes a UAV-based PM2. 5 air quality and temperature-humidity monitoring
system. The system includes an air quality detector comprising four Arduino sensor …

Significant research efforts have documented the capabilities of machine learning (ML)
algorithms to model pavement performance. Several challenges, however, limit the …

This research focuses on predicting the International Roughness Index (IRI) of rigid
pavements using the Artificial Neural Network (ANN) model that uses climate and traffic …

Automated vehicles are rapidly emerging as the new generation of transport tools. Relevant
research mainly focuses on collision avoidance, lane kee**, and coordination control to …

With a wide range of requirements throughout the world, high-quality road management is
subject to increasing demand from a perspective of customer-oriented levels of service. In …

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 …

As the main excitation source in the process of vehicle driving, road roughness directly
affects the vehicle ride comfort and handling stability. In this paper, an on-line estimation …