Isbn: 9786202923583 - condition evaluation and classification using geospatial tools: pavement surface condition evaluation and classification using geospatial tools (13 risultati)

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Condizione: New. pp. 112.

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Condizione: New. Print on Demand pp. 112.

Taschenbuch. Condizione: 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.…

Condizione: New. PRINT ON DEMAND pp. 112.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch.…

Taschenbuch. Condizione: Neu. Condition Evaluation and Classification Using Geospatial Tools | Pavement Surface Condition Evaluation and Classification Using Geospatial Tools | Pradeep Kumar (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202923583 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…