Application of noise-cancelling and smoothing techniques in road pavement vibration monitoring data

Shtayat, Amir; Moridpour, Sara; Best, Berthold; Daoud, Hussein

doi:10.1016/j.ijtst.2023.04.002

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Vibration data often requires preprocessing steps like noise filtering and smoothing techniques to improve its quality and consistency before feeding it into machine learning models. These techniques help to remove irrelevant information and ensure features are on a similar scale for effective learning 1 , 11 , 13 . Due to the varying lengths of road sections with different surface conditions, raw vibration data is often segmented into windows for analysis.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of data representation techniques for vibration based road surface condition classification

Raslan,

Alrahmawy,

Mohammed

et al. 2024

Sci Rep

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The accurate classification of road surface conditions plays a vital role in ensuring road safety and effective maintenance. Vibration-based techniques have shown promise in this domain, leveraging the unique vibration signatures generated by vehicles to identify different road conditions. In this study, we focus on utilizing vehicle-mounted vibration sensors to collect road surface vibrations and comparing various data representation techniques for classifying road surface conditions into four classes: normal road surface, potholes, bad road surface, and speedbumps. Our experimental results reveal that the combination of multiple data representation techniques results in higher performance, with an average accuracy of 93.4%. This suggests that the integration of deep neural networks and signal processing techniques can produce a high-level representation better suited for challenging multivariate time series classification issues.

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Section: Related Workmentioning

confidence: 99%

Evaluation of data representation techniques for vibration based road surface condition classification

Raslan,

Alrahmawy,

Mohammed

et al. 2024

Sci Rep

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“…Chemical Engineering as well as the length of the road network, requires researchers to develop precise and accurate road monitoring techniques [7,8]. One of the efforts to monitor the technique is by implementing road asset management.…”

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confidence: 99%

The effect of Polyethylene Terephthalate (PET) plastic addition to AC-WC in a wet mixture on increase of asphalt stability

Arifin,

Senin,

Bowoputro

et al. 2024

Eureka: PE

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PET (Polyethylene Terephthalate) plastic is one of the most common types of plastic used in Indonesia. Its existence has contributed significantly to various sectors, including the food and beverage, cosmetic, pharmaceutical, and other consumer product packaging industries. However, the use of PET plastic also creates a number of impacts that need to be considered. PET (Polyethylene Terephthalate) plastic has become an attractive alternative in the construction industry in Indonesia, particularly in its use as an asphalt mixture in road construction. This study aimed to determine the effect of the addition of PET waste to the asphalt on the value of Marshall characteristics as well as the optimum asphalt content and plastic content in the AC - WC mixture. Basic testing of 4 %, 5 %, and 6 % (by weight of asphalt) PET plastic mixture with wet mixing method where PET plastic is put into hot asphalt and stirred until homogeneous. Marshall test data will go through Formality Test, Homogeneity Test, Two-Way ANOVA, Duncan Test, and Correlation Regression Analysis to get the 3D graph equation. The result is that PET plastic affects the asphalt mixture by increasing the stability value and MQ value, for flow, VFB, and VMA values have decreased. VIM value increased at 4 % level and decreased at 6 % level. From the ribbon graph, the optimum asphalt content for each percentage of PET content is obtained, namely 4 % PET KAO value of 6.2 %, 5 % PET KAO 6.25 %, and 6 % KAO 6.28 %. It can be concluded that the mixing of PET with asphalt in AC-WC mixtures can be maximum if the right percentage combination of asphalt and PET content. From the 3D Graphic Method, it results that the maximum use of plastic PET is at a content of 5.40 %, and an asphalt content of 6.35 %, will produce an asphalt stability of 1714.232 kN

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Improving fNIRS Signal Quality Using Smoothing Filtering

Kawala-Sterniuk,

Mikołajewski,

Leiva

et al. 2023

2023 Progress in Applied Electrical Engineering (PAEE)

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Application of noise-cancelling and smoothing techniques in road pavement vibration monitoring data

Cited by 3 publications

References 20 publications

Evaluation of data representation techniques for vibration based road surface condition classification

Evaluation of data representation techniques for vibration based road surface condition classification

The effect of Polyethylene Terephthalate (PET) plastic addition to AC-WC in a wet mixture on increase of asphalt stability

Improving fNIRS Signal Quality Using Smoothing Filtering

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