9783030103736 - laser scanning systems in highway and safety assessment: analysis of highway geometry and safety using lidar (advances in science, technology & innovation) von pradhan, biswajeet; ibrahim sameen, maher (3 Ergebnisse)
Sprache: Englisch
Verlag: Cham, Switzerland, Springer Nature., 2020
Serie: Buch 17 von 129 - Advances in Science, Technology & Innovation
- Hardcover
Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, DeutschlandUniversitätsbuchhandlung Herta Hold GmbH
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EUR 18,00
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XV, 157 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advances in Science, Technology & Innovation. Sprache: Englisch.
Sprache: Englisch
Verlag: Springer Verlag, 2019
Serie: Buch 17 von 129 - Advances in Science, Technology & Innovation
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 168,15
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Hardcover. Zustand: Brand New. 157 pages. 9.25x6.10x0.55 inches. In Stock.
Sprache: Englisch
Verlag: Springer, 2019
Serie: Buch 17 von 129 - Advances in Science, Technology & Innovation
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 117,69
EUR 63,49 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to promote the core understanding of a proper modelling of road traffic accidents by deep learning methods using traffic information and road geometry delineated from laser scanning data. The first two chapters of the book introduce the reade…r to laser scanning technology with creative explanation and graphical illustrations, review and recent methods of extracting geometric road parameters. The next three chapters present different machine learning and statistical techniques applied to extract road geometry information from laser scanning data. Chapters 6 and 7 present methods for modelling roadside features and automatic road geometry identification in vector data. After that, this book goes on reviewing methods used for road traffic accident modelling including accident frequency and injury severity of the traffic accident (Chapter 8). Then, the next chapter explores the details of neural networks and their performance in predicting the traffic accidents along with a comparison with common data mining models. Chapter 10 presents a novel hybrid model combining extreme gradient boosting and deep neural networks for predicting injury severity of road traffic accidents. This chapter is followed by deep learning applications in modelling accident data using feed-forward, convolutional, recurrent neural network models (Chapter 11). The final chapter (Chapter 12) presents a procedure for modelling traffic accident with little data based on the concept of transfer learning. This book aims to help graduate students, professionals, decision makers, and road planners in developing better traffic accident prediction models using advanced neural networks.
