Condition Evaluation and Classification Using Geospatial Tools | Pavement Surface Condition Evaluation and Classification Using Geospatial Tools

Pradeep Kumar (u. a.)

ISBN 10: 620292358X ISBN 13: 9786202923583

Edit� par LAP LAMBERT Academic Publishing, 2020

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Synopsis :

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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Titre : Condition Evaluation and Classification ...
�diteur : LAP LAMBERT Academic Publishing
Date d'�dition : 2020
Reliure : Taschenbuch
Etat : Neu

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Condition Evaluation and Classification Using Geospatial Tools

Pradeep Kumar|P. K . Garg|M. Parida

Edit� par LAP LAMBERT Academic Publishing, 2020

ISBN 10 : 620292358X ISBN 13 : 9786202923583

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Condition Evaluation and Classification Using Geospatial Tools: Pavement Surface Condition Evaluation and Classification Using Geospatial Tools

Pradeep Kumar, P. K . Garg, M. Parida

Edit� par LAP LAMBERT Academic Publishing 2020-10-29, 2020

ISBN 10 : 620292358X ISBN 13 : 9786202923583

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Condition Evaluation and Classification Using Geospatial Tools: Pavement Surface Condition Evaluation and Classification Using Geospatial Tools

Kumar, Pradeep; Garg, P. K .; Parida, M.

Edit� par LAP LAMBERT Academic Publishing, 2020

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Condition Evaluation and Classification Using Geospatial Tools

Kumar, Pradeep; Garg, P. K .; Parida, M.

Edit� par LAP LAMBERT Academic Publishing, 2020

ISBN 10 : 620292358X ISBN 13 : 9786202923583

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Condition Evaluation and Classification Using Geospatial Tools

Pradeep Kumar

Edit� par LAP LAMBERT Academic Publishing Okt 2020, 2020

ISBN 10 : 620292358X ISBN 13 : 9786202923583

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9786202923583

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Condition Evaluation and Classification Using Geospatial Tools

Pradeep Kumar

Edit� par LAP LAMBERT Academic Publishing Okt 2020, 2020

ISBN 10 : 620292358X ISBN 13 : 9786202923583

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Taschenbuch. Etat : 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 Landstra�e 99, 66123 Saarbr�cken 112 pp. Englisch. N� de r�f. du vendeur 9786202923583

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Condition Evaluation and Classification Using Geospatial Tools : Pavement Surface Condition Evaluation and Classification Using Geospatial Tools

Pradeep Kumar

Edit� par LAP LAMBERT Academic Publishing, 2020

ISBN 10 : 620292358X ISBN 13 : 9786202923583

Neuf Taschenbuch

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9786202923583

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