Machine Learning for Transportation Research and Applications (Paperback) (ISBN-13: 9780323961264)

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 textbook
is 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.

Author: Yinhai Wang, Zhiyong Cui, Ruimin Ke
ISBN-10: 0323961266
ISBN-13: 9780323961264
Publisher: Elsevier
Language: English
Published: 04/25/2023
Pages: 252
Format: Paperback
Weight: 0.75lbs
Size: 9.00h x 6.00w x 0.53d