Abstract

This book is intended to help current and future transportation professionals build their understanding of, and capability to use, machine learning (ML) methods and tools to address transportation challenges. This chapter describes the importance of transportation and the motivation to write a book that can serve both as the textbook for college or graduate students and as a reference book for working professionals on ML research and applications in transportation engineering. This chapter also briefly reviews the history of ML and introduces promising ML-transportation research and applications, concluding with an overview of the book's the organization.

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