Machine learning models in urban transport applications: understanding and actuation

The prosperity of big data has boosted the development of AI techniques in smart city. In this thesis, we study the adaptation of newly-emerging machine learning techniques to urban transport applications. We review existing tasks and techniques in both urban transport understanding and urban transp...

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Bibliographic Details
Main Author: Li, Mingqian
Other Authors: Mo Li
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/171580
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Institution: Nanyang Technological University
Language: English

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