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Low-cost infrared-based pavement roughness data acquisition for low volume roads
Automation in Construction, 2020On-time maintenance of deteriorated pavement is a crucial step toward minimizing its life cycle costs. Maintenance and rehabilitation actions are planned based on pavement condition data including road roughness.
Amir Golroo
exaly +2 more sources
Analysis of Pavement Roughness [PDF]
In earlier progress reports dealing with the development of triaxial acceleration analysis as applied to the evaluation of pavement riding qualities, of which this report is a continuation, riding comfort or discomfort was emphasized. The accelerations monitored then were evaluated in terms of g's per sec., or "jerk" which is considered by some ...
Rizenbergs, Rolands L.
openaire +3 more sources
Factors Affecting Initial Roughness of Concrete Pavement
Journal of Performance of Constructed Facilities, 2007Past studies have shown that initial pavement roughness greatly affects future pavement roughness and roughness progression rate. Initial pavement roughness is also an important input to the roughness prediction model in mechanistic-empirical design guide.
Wen Haifang
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Measurement of Street Pavement Roughness in Urban Areas Using Smartphone
International Journal of Pavement Research and Technology, 2021Yazan Ibrahim Alatoom
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Pavement roughness index estimation and anomaly detection using smartphones
Automation in Construction, 2022Qiqin Yu, Yihai Fang
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International Journal of Pavement Engineering, 2023
The vibration-based pavement roughness measurement method has garnered significant attention in recent years due to the development of low-cost sensors. The vehicle calibration process is necessary before field measurement due to the effect of changeable
Difei Wu +5 more
semanticscholar +1 more source
The vibration-based pavement roughness measurement method has garnered significant attention in recent years due to the development of low-cost sensors. The vehicle calibration process is necessary before field measurement due to the effect of changeable
Difei Wu +5 more
semanticscholar +1 more source
Predicting Pavement Roughness Using Deep Learning Algorithms
Transportation Research Record, 2021Transportation agencies should measure pavement performance to appropriately strategize road preservation, maintenance, and rehabilitation activities. The international roughness index (IRI), which is a means to quantify pavement roughness, is a primary ...
Qingwen Zhou, Egemen Okte, I. Al-Qadi
semanticscholar +1 more source
Development of pavement roughness models using Artificial Neural Network (ANN)
International Journal of Pavement Engineering, 2021Pavement roughness in terms of the International Roughness Index (IRI) plays an important role in determining the riding quality of road networks. Moreover, it is considered as a pavement performance measure and a determinant of the optimal time for ...
Y. Alatoom +1 more
semanticscholar +1 more source
Development of pavement roughness regression models based on smartphone measurements
Journal of Engineering, Design and Technology, 2022Purpose The purpose of this paper was to study the possibility of using smartphone roughness measurements for developing pavement roughness regression models as a function of pavement age, traffic loading and traffic volume variables.
Turki I. Al-Suleiman (Obaidat) +1 more
semanticscholar +1 more source
Stochastic modelling of pavement roughness
Proceedings of 28th Southeastern Symposium on System Theory, 2002Pavement roughness is usually characterized by a one figure statistic of pavement profile data. This approach discards a rich body of useful pavement information in the pavement profile data. In this study, informative parametric models for pavement roughness are developed where pavement roughness is treated as a stochastic signal.
J.J. Zhu, null Wenli Zhu
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