Q Yu, Y Fang, R Wix - Automation in construction, 2022 - Elsevier
The prevalence of smartphones among vehicle drivers presents exciting opportunities in assessing pavement roughness in a more efficient and cost-effective manner, compared …
C Liu, D Wu, Y Li, Y Du - Transportation Research Part C: Emerging …, 2021 - Elsevier
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 …
M Hossain, LSP Gopisetti, MS Miah - International journal of pavement …, 2020 - Springer
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 …
Y Du, C Liu, Y Li - IEEE Intelligent transportation systems …, 2018 - ieeexplore.ieee.org
Automated vehicles are rapidly emerging as the new generation of transport tools. Relevant research mainly focuses on collision avoidance, lane keeping, and coordination control to …
N Abulizi, A Kawamura, K Tomiyama, S Fujita - Journal of Traffic and …, 2016 - Elsevier
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 …
W Liu, R Wang, R Ding, X Meng, L Yang - Mechanical Systems and Signal …, 2020 - Elsevier
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 …