Machine Learning for Transportation Research and Applications Paperback / softback
by Yinhai (Professor of Transportation Engineering and Founding Director of the Smart Transportat Wang, Zhiyong (Ph.D. Candidate in Civil Engineering (Intelligent Transportation Systems), University Cui, Ruimin (Assistant Professor, Department of Civil Engineering, University of Texas at El Paso,USA Ke
Paperback / softback
Description
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.
Information
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Only a few left - usually despatched within 24 hours
- Format:Paperback / softback
- Pages:252 pages
- Publisher:Elsevier - Health Sciences Division
- Publication Date:25/04/2023
- Category:
- ISBN:9780323961264
£95.95
£89.35
Information
-
Only a few left - usually despatched within 24 hours
- Format:Paperback / softback
- Pages:252 pages
- Publisher:Elsevier - Health Sciences Division
- Publication Date:25/04/2023
- Category:
- ISBN:9780323961264