Low-cost infrared-based pavement roughness data acquisition for low volume roads

Kheirati, Afarin; Golroo, Amir

doi:10.1016/j.autcon.2020.103363

Cited by 19 publications

(8 citation statements)

References 8 publications

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“…O núcleo de um SGP é avaliar rigorosamente a condição da rodovia e, a partir disso, fornecer planos de manutenção técnica e economicamente viáveis (LOPES et al, 2015). Várias ferramentas têm sido empregadas para avaliar a condição do pavimento até o momento (BIDGOLI et al, 2019;GANJI et al, 2019;GOLROO, 2020;BISCONSINI;FERNANDES JÚNIOR, 2018;CASTELO BRANCO, 2016). De um modo geral, essas ferramentas podem ser divididas em abordagens manuais e automatizadas.…”

Section: Introductionunclassified

Estimativa Da Vida Útil Remanescente De Pavimentos Rígidos Utilizando Modelos De Desempenho Do HDM-4

MOTA,

CHAVES,

CAMARGO

et al. 2023

Anais Do(a) RAPv. Reunião Anual De Pavimentação

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O Índice de Condição do Pavimento (ICP) é amplamente utilizado como um parâmetro para avaliar a condição global de superfície de pavimentos rígidos, servindo de base nos sistemas de gerência de pavimentos para a definição de planos de manutenção viáveis. Apesar de sua ampla utilização em concessões rodoviárias, existe uma carência de metodologias para estimar a evolução desse parâmetro e, consequentemente, a vida útil dos pavimentos rígidos em termos de sua condição de superfície. Este artigo aborda as atividades realizadas para monitorar e avaliar as condições dos pavimentos de concreto de cimento Portland de uma rodovia concessionada inserida no Estado de São Paulo, com o objetivo de estimar a vida útil remanescente e verificar a conformidade com os requisitos do edital de concessão. O estudo abrangeu um levantamento visual detalhado das patologias e a medição da irregularidade longitudinal no trecho de pavimento rígido. Com o intuito de se prever o desempenho dos pavimentos adotou-se o Highway Development and Management (HDM-4) sendo a progressão do ICP ao longo do tempo estimada a partir dos resultados do HDM-4 utilizando uma metodologia adaptada da Federal Highway Administration (FHWA). A partir disso, foi possível determinar a vida útil remanescente do pavimento utilizando-se a condição real do pavimento para calibrar o modelo de referência com vistas a se ter modelos que efetivamente representem a condição da via. Os resultados demonstram que a metodologia pode ser implantada como forma de se estimar a vida útil dos pavimentos rodoviários de concreto em termos de ICP através de simulações com o HDM-4.

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Section: Introductionunclassified

Estimativa Da Vida Útil Remanescente De Pavimentos Rígidos Utilizando Modelos De Desempenho Do HDM-4

MOTA,

CHAVES,

CAMARGO

et al. 2023

Anais Do(a) RAPv. Reunião Anual De Pavimentação

View full text Add to dashboard Cite

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“…A stochastic gradient descent logistic regression (SGD-LR) was subsequently implemented to classify the image samples into two categories of nonraveling and raveling based on a set of extracted characteristics. In the studies [ 18 , 19 ], low-cost data acquisition systems were developed. The systems rely on smartphones equipped with an accelerometer and a geographical positioning system, in one case, and a Sharp IR-based sensor and an accelerometer, in the other, to measure the pavement roughness.…”

Section: Introductionmentioning

confidence: 99%

Pavement Distress Estimation via Signal on Graph Processing

Bruno

Colonnese

Scarano

et al. 2022

Sensors

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A comprehensive representation of the road pavement state of health is of great interest. In recent years, automated data collection and processing technology has been used for pavement inspection. In this paper, a new signal on graph (SoG) model of road pavement distresses is presented with the aim of improving automatic pavement distress detection systems. A novel nonlinear Bayesian estimator in recovering distress metrics is also derived. The performance of the methodology was evaluated on a large dataset of pavement distress values collected in field tests conducted in Kazakhstan. The application of the proposed methodology is effective in recovering acquisition errors, improving road failure detection. Moreover, the output of the Bayesian estimator can be used to identify sections where the measurement acquired by the 3D laser technology is unreliable. Therefore, the presented model could be used to schedule road section maintenance in a better way.

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“…e measurement methods generally include contact measurement method, noncontact measurement method, and dynamic response measurement method [9]. For example, Bidgoli [10], Kheirati [11], and Putra [12] all measured the road surface with a noncontact measuring device and analyzed excitation features of the road surface, which provided a reference for the measurement of roughness of the hard road surface. Xue [13] and Shi [14] established vibration equation of vehicle-road surface system, analyzed vehicle vibration response signal under pothole road surface by using dynamic response measurement method, and calculated the size of pothole in the road, which provided great help for road maintenance.…”

Section: Introductionmentioning

confidence: 99%

Perceiving Excitation Characteristics from Interactions between Field Road and Vehicle via Vibration Sensing

Cheng

Man

et al. 2021

Journal of Advanced Transportation

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When agricultural vehicles operate in the field, the soft road excitation makes it difficult to measure the vehicle vibration. A camera-accelerator system can solve this issue by utilizing computer vision information; however, the relationship between the field road surface and the vehicle vibration response remains an unsolved problem. This study aims to investigate the correlation of the soft road excitation of different long-wave surfaces with the vehicle vibration response. Vibration equation between the vehicle and soft road surface system was established to produce an effective roughness model of the field soft road surface. In order to simulate the vehicle vibration state under different long-wave road surfaces, the soil rectangular pits with 21 kinds of different spans and depths were applied to the road surfaces, and a tractor vibration test system was built for vibration test. The frequency spectrum analysis was performed for the vibration response and the roughness signals of the road surfaces. The results showed that coefficient (R2) of frequency correlation between the roughness excitation and the original unevenness at the excitation point at the rear end of the rectangular soil pit fell within 0.9641∼0.9969. The main frequency band of the vibration response fell within 0∼3 Hz, and the phenomenon of quadruple frequency existed. The correlation of roughness excitation with quadruple frequency fell within 0.992165∼1. The primary excitation points were located at the rear end of the rectangular soil pit. In addition, it also indicated that when the vehicle was driven without autonomous power, the vehicle vibration frequency mainly depended on the excitation frequency of the field road surface and the frequency at the maximum vehicle vibration intensity was 2 or 3 times of that at the maximum field soft road excitation. These findings may provide a reference for optimal design of vibration reduction and control for agricultural vehicles.

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Low-cost infrared-based pavement roughness data acquisition for low volume roads

Cited by 19 publications

References 8 publications

Estimativa Da Vida Útil Remanescente De Pavimentos Rígidos Utilizando Modelos De Desempenho Do HDM-4

Estimativa Da Vida Útil Remanescente De Pavimentos Rígidos Utilizando Modelos De Desempenho Do HDM-4

Pavement Distress Estimation via Signal on Graph Processing

Perceiving Excitation Characteristics from Interactions between Field Road and Vehicle via Vibration Sensing

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