Electronic Resource
AI-Based Transportation Planning and Operation
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
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- Call Number
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- Publisher
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Basel, Switzerland :
MDPI - Multidisciplinary Digital Publishing Institute.,
2022
- Collation
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124 hlm; ill., lamp.,
- Language
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English
- ISBN/ISSN
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9783036503653
- Classification
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NONE
- Content Type
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text
- Media Type
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computer
- Carrier Type
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online resource
- Edition
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- Subject(s)
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- Specific Detail Info
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- Statement of Responsibility
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Sohn, Keemin
Other Information
- Cataloger
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ida
- Source
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https://directory.doabooks.org/handle/20.500.12854/68522
- Validator
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- Digital Object Identifier (DOI)
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10.3390/books978-3-0365-0365-3
- Journal Volume
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- Journal Issue
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- Subtitle
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- Parallel Title
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Other version/related
No other version available
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