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Titlebook: Laser Scanning Systems in Highway and Safety Assessment; Analysis of Highway Biswajeet Pradhan,Maher Ibrahim Sameen Textbook 2020 Springer

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發(fā)表于 2025-3-21 16:27:28 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Laser Scanning Systems in Highway and Safety Assessment
副標(biāo)題Analysis of Highway
編輯Biswajeet Pradhan,Maher Ibrahim Sameen
視頻videohttp://file.papertrans.cn/582/581568/581568.mp4
概述Presents an overview of laser scanning technology in the context of road geometry modelling.Includes a comprehensive review on road geometry modelling and traffic accident prediction with neural netwo
叢書名稱Advances in Science, Technology & Innovation
圖書封面Titlebook: Laser Scanning Systems in Highway and Safety Assessment; Analysis of Highway  Biswajeet Pradhan,Maher Ibrahim Sameen Textbook 2020 Springer
描述.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 acciden
出版日期Textbook 2020
關(guān)鍵詞Traffic Accidents Prediction Model; Deep Learning; Recurrent Neural Network; LiDAR; Road Geometry; Neural
版次1
doihttps://doi.org/10.1007/978-3-030-10374-3
isbn_ebook978-3-030-10374-3Series ISSN 2522-8714 Series E-ISSN 2522-8722
issn_series 2522-8714
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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發(fā)表于 2025-3-21 20:48:36 | 只看該作者
successfully on the Earth Simulator. The domain covers quasiglobal from 75°S to 75°N excluding arctic regions, with horizontal resolution of 0.1° and 54° vertical levels. Encouraged by high performance of the preceding spin-up integration in capturing the time-mean and transient eddy fields of the
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Biswajeet Pradhan,Maher Ibrahim Sameeneen presented..The analysis of three different Climate models, GISS, the NCAR community climate model CCM3, and the GFDL Finite volume AM2 (M90), have been discussed. The intention here was not to determine which one is better but rather to indicate what deficiency may be common to all of them. Evid
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Biswajeet Pradhan,Maher Ibrahim Sameene investigations the molecule still resists complete analysis of its spectrum. Because of the high density of lines, it is apparent that high-resolution measurements are essential to a thorough understanding of the spectrum. The major part of this book consists of an atlas, described in Chap. 2, of
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Biswajeet Pradhan,Maher Ibrahim Sameene investigations the molecule still resists complete analysis of its spectrum. Because of the high density of lines, it is apparent that high-resolution measurements are essential to a thorough understanding of the spectrum. The major part of this book consists of an atlas, described in Chap. 2, of
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發(fā)表于 2025-3-22 23:15:00 | 只看該作者
Biswajeet Pradhan,Maher Ibrahim Sameene investigations the molecule still resists complete analysis of its spectrum. Because of the high density of lines, it is apparent that high-resolution measurements are essential to a thorough understanding of the spectrum. The major part of this book consists of an atlas, described in Chap. 2, of
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important diagnostic methods for the study of the anorectal disease. While at the beginning it was mainly used for the diagnosis of Hirschsprung disease, later anorectal manometry proved to be the most appropriate tool for the study of anorectal motility, employed in a wide range of rectoanal proble
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