9783030103736 - laser scanning systems in highway and safety assessment: analysis of highway geometry and safety using lidar (advances in science, technology & innovation) de pradhan, biswajeet; ibrahim sameen, maher (11 resultados)
Idioma: Inglés
Editorial: Cham, Switzerland, Springer Nature., 2020
Serie: Libro 17 de 129 - Advances in Science, Technology & Innovation
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Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, AlemaniaUniversitätsbuchhandlung 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.
Idioma: Inglés
Editorial: Springer Nature Switzerland AG, Cham, 2019
Serie: Libro 17 de 129 - Advances in Science, Technology & Innovation
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 137,46
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Hardcover. Condición: new. Hardcover. 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 reader 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 17 de 129 - Advances in Science, Technology & Innovation
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 159,19
Envío por EUR 3,48Se envía dentro de Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New.
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Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 17 de 129 - Advances in Science, Technology & Innovation
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 117,69
Envío por EUR 63,49Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: 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 rea…der 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.
Idioma: Inglés
Editorial: Springer Verlag, 2019
Serie: Libro 17 de 129 - Advances in Science, Technology & Innovation
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 171,38
Envío por EUR 14,57Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Hardcover. Condición: Brand New. 157 pages. 9.25x6.10x0.55 inches. In Stock.
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 17 de 129 - Advances in Science, Technology & Innovation
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 94,25
Envío por EUR 6,80Se envía de Italia a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 17 de 129 - Advances in Science, Technology & Innovation
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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EUR 107,58
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 10 disponibles
Condición: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
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Idioma: Inglés
Editorial: Springer International Publishing Apr 2019, 2019
Serie: Libro 17 de 129 - Advances in Science, Technology & Innovation
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 117,69
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 i…ntroduce the reader 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. 176 pp. Englisch.
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 17 de 129 - Advances in Science, Technology & Innovation
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 163,71
Envío por EUR 7,58Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 17 de 129 - Advances in Science, Technology & Innovation
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 165,97
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. PRINT ON DEMAND.
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Idioma: Inglés
Editorial: Springer, Springer Apr 2019, 2019
Serie: Libro 17 de 129 - Advances in Science, Technology & Innovation
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 117,69
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Presents an overview of laser scanning technology in the context of road geometry modellingIncludes a comprehensive review on road geometry modelling and traffic accident prediction with neural networksIntroduces neural networks with simple th…eoretical backgrounds and creative illustrationContains special chapters on novel deep learning models developed for predicting traffic accidentsIncludes a comparative study between neural networks and statistical methodsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 176 pp. Englisch.
