Machine Learning for Transportation Research and Applications - Earth and Environmental Sciences Textbooks

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Machine Learning for Transportation Research and Applications

Yinhai Wang
Zhiyong Cui
Ruimin Ke

Price: USD: 125.00
ISBN: 978-0-323-96126-4

Copyright date: Jun 01, 2023
Pages: 275
Not Yet Published
Elsevier Science & Technology

This book belongs to the following Subject Areas:
Earth and Environmental Sciences
Economics
Psychology
Social Sciences

Key Features

Introduces fundamental machine learning theories and methodologies

Presents state-of-the-art machine learning methodologies and their integrations with transportation domain knowledge

Includes case studies or examples in each chapter that illustrate the application of methodologies and techniques for solving transportation problems

About the Book
Transportation issues are often too complicated to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle the challenging transportation problems. Readers will learn how to develop and apply different types of machine learning models to transportation related problems. Example applications include transportation data generations, traffic sensing, transportation mode recognition, transportation system management and control, traffic flow prediction, and traffic safety analysis.

Readership
Researchers and grad students in transportation and transportation engineering; Practitioners in transportation

Content
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