Pavement roughness index estimation and anomaly detection using smartphones

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 …

Potential applications of connected vehicles in pavement condition evaluation: A brief review

M Samie, A Golroo, D Tavakoli… - Road Materials and …, 2024 - Taylor & Francis
Road authorities are concerned with maintaining the road condition at a high level of service
to minimise user and agency costs. For this purpose, they have to monitor the road condition …

Novel identification technique of moving loads using the random response power spectral density and deep transfer learning

Q Tang, J Xin, Y Jiang, J Zhou, S Li, Z Chen - Measurement, 2022 - Elsevier
Accurate identification of vehicle loads plays a great significance in design, monitoring and
evaluation of bridges. However, it is hard to acquire them via conventional methods because …

[HTML][HTML] Accelerometers in our pocket: Does smartphone accelerometer technology provide accurate data?

G Grouios, E Ziagkas, A Loukovitis, K Chatzinikolaou… - Sensors, 2022 - mdpi.com
This study evaluates accelerometer performance of three new state of the art smartphones
and focuses on accuracy. The motivating research question was whether accelerator …

[HTML][HTML] Industry-and academic-based trends in pavement roughness inspection technologies over the past five decades: a critical review

A Fares, T Zayed - Remote Sensing, 2023 - mdpi.com
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 …

Evaluation framework for smartphone-based road roughness index estimation systems

Q Yu, Y Fang, R Wix - International Journal of Pavement …, 2023 - Taylor & Francis
Roughness is an important indicator of road deterioration and has a significant impact on
road serviceability. Conventional instruments for roughness measurement, such as laser …

An ensemble learning with sequential model-based optimization approach for pavement roughness estimation using smartphone sensor data

W Guo, J Zhang, M Murtaza, C Wang, D Cao - Construction and Building …, 2023 - Elsevier
Pavement roughness monitoring has always been a concern in the field of road asset
management. However, the utilization of laser profilometers to measure pavement …

Road Roughness Detection Based on Discrete Kalman Filter Model with Driving Vibration Data Input

J Li, L Wang, Y Miao, X Tong, Z Ye - International Journal of Pavement …, 2023 - Springer
Road roughness affects driving comfort and is closely related to driving safety. Detecting
road roughness is beneficial for highway maintenance decision-making. This paper …

Smartphone applications for pavement condition monitoring: A review

AM Al-Sabaeei, MI Souliman, A Jagadeesh - Construction and Building …, 2024 - Elsevier
Pavement condition monitoring (PCM) systems are essential for making decisions on road
maintenance and rehabilitation toward preserving roads and airports assets in a good …

Cycling on rough roads: a model for resistance and vibration

MM Turner - Vehicle System Dynamics, 2024 - Taylor & Francis
Minimising opposing forces is a matter of interest to most cyclists. These forces arise from
passage through air ('drag') and interaction with the road surface ('resistance'). Recent work …