Machine Learning for Transportation Research and Applications

von Zhiyong Cui, Ruimin Ke, Yinhai Wang

252 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Elsevier
• ISBN: 9780323961264
• Sprache: Englisch
• Erscheinungsdatum: 12.05.2023
• Größe: 221 x 153 mm
• Verlag: Elsevier Inc