Machine learning methods for transportation under uncertainty

Machine learning methods for transportation under uncertainty

Motivated by the prevalence of uncertainty and the widespread use of modeling in Transportation, we develop and study effective methods for modeling Transportation under uncertainty. These methods are Machine Learning-based, i.e., they extract patterns from data and leverage them for better modeling...

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Bibliographic Details
Main Author: Peled, Inon
Other Authors: -
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Civil engineering::Transportation
Online Access:https://hdl.handle.net/10356/153581

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