Download the fantastic book titled Machine Learning for Transportation Research and Applications written by Yinhai Wang, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Machine Learning for Transportation Research and Applications", which was released on 19 April 2023. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Business & Economics genre.
Summary of Machine Learning for Transportation Research and Applications by Yinhai Wang PDF
Transportation is a combination of systems that presents a variety of challenges often too intricate to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle challenging transportation problems. This textbookis designed for college or graduate-level students in transportation or closely related fields to study and understand fundamentals in machine learning. Readers will learn how to develop and apply various types of machine learning models to transportation-related problems. Example applications include traffic sensing, data-quality control, traffic prediction, transportation asset management, traffic-system control and operations, and traffic-safety analysis. Introduces fundamental machine learning theories and methodologies Presents state-of-the-art machine learning methodologies and their incorporation into transportationdomain knowledge Includes case studies or examples in each chapter that illustrate the application of methodologies andtechniques for solving transportation problems Provides practice questions following each chapter to enhance understanding and learning Includes class projects to practice coding and the use of the methods
Detail About Machine Learning for Transportation Research and Applications PDF
- Author : Yinhai Wang
- Publisher : Elsevier
- Genre : Business & Economics
- Total Pages : 254 pages
- ISBN : 0323996809
- Release Date : 19 April 2023
- PDF File Size : 30,8 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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