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Electronic Resource

AI-Based Transportation Planning and Operation

Sohn, Keemin - Personal Name;

The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI or machine-learning techniques to transportation planning and operation. The topics of the articles encompass traffic surveillance, traffic safety, vehicle emission reduction, congestion management, traffic speed forecasting, and ride sharing strategy.


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Detail Information
Series Title
-
Call Number
-
Publisher
Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute., 2022
Collation
124 hlm; ill., lamp.,
Language
English
ISBN/ISSN
9783036503653
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
History of engineering and technology
Specific Detail Info
-
Statement of Responsibility
Sohn, Keemin
Other Information
Cataloger
ida
Source
https://directory.doabooks.org/handle/20.500.12854/68522
Validator
-
Digital Object Identifier (DOI)
10.3390/books978-3-0365-0365-3
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
Other version/related

No other version available

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  • AI-Based Transportation Planning and Operation
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