Maintenance of pavements is an important aspect for the road authorities all over the world. The first step towards maintenance is pavement evaluation. Pavement could be evaluated through different types of distress experienced, such as cracking, disintegration and surface deformation. Pavement surface distresses, such as cracks and pothole are visible imperfections on the surface of the pavements. At present, there are various methods for conducting distress surveys, recording and analysing distress survey data. Traditionally, pavement condition data are gathered by human inspectors who walk or drive along the road to assess the distresses and subsequently produce reports, but it is costly and time-consuming, and endangers the safety of the personnel involved. Also, the large differences exist between the actual condition and evaluation results because of the subjectivity of the evaluation process. This work proposed methodologies for automatic assessment of pavement surface distresses using geospatial tools and soft computing techniques.
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Dr.Pradeep Kumar Sivakumar., M.E., Ph.D is working as an Assistant Professor in the Department of EEE, Vels Institute of Science, Technology and Advanced Studies, Chennai. Dr. B. Rubini, M.E.,Ph.D is working as an Asst Prof in the Dept of EEE, VISTAS, Chennai. Dr. K. Karunakaran, M.E., MBA, Ph.D is working as an Associate Prof. Dept of Mechanical
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Maintenance of pavements is an important aspect for the road authorities all over the world. The first step towards maintenance is pavement evaluation. Pavement could be evaluated through different types of distress experienced, such as cracking, disintegration and surface deformation. Pavement surface distresses, such as cracks and pothole are visible imperfections on the surface of the pavements. At present, there are various methods for conducting distress surveys, recording and analysing distress survey data. Traditionally, pavement condition data are gathered by human inspectors who walk or drive along the road to assess the distresses and subsequently produce reports, but it is costly and time-consuming, and endangers the safety of the personnel involved. Also, the large differences exist between the actual condition and evaluation results because of the subjectivity of the evaluation process. This work proposed methodologies for automatic assessment of pavement surface distresses using geospatial tools and soft computing techniques. 112 pp. Englisch. Bestandsnummer des Verkäufers 9786202923583
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