| 书目名称 | Laser Scanning Systems in Highway and Safety Assessment |
| 副标题 | Analysis of Highway |
| 编辑 | Biswajeet Pradhan,Maher Ibrahim Sameen |
| 视频video | |
| 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 |
| 丛书名称 | Advances in Science, Technology & Innovation |
| 图书封面 |  |
| 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 |
| 关键词 | Traffic Accidents Prediction Model; Deep Learning; Recurrent Neural Network; LiDAR; Road Geometry; Neural |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-10374-3 |
| isbn_ebook | 978-3-030-10374-3Series ISSN 2522-8714 Series E-ISSN 2522-8722 |
| issn_series | 2522-8714 |
| copyright | Springer Nature Switzerland AG 2020 |
发表于 2025-3-21 16:27:28
