AI-Based Transportation Planning and Operation

Author:: Sohn, Keemin
Published:: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Physical Description:: 1 electronic resource (124 p.)
Additional Creators:: Sohn, Keemin

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Language Note:

English

Restrictions on Access:

Open Access Unrestricted online access

Summary:

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.

Subject(s):

History of engineering & technology

Other Subject(s):

ISBN:

books978-3-0365-0365-3
9783036503646
9783036503653

Collection:

DOAB Library.

Terms of Use and Reproduction:

Creative Commons https://creativecommons.org/licenses/by/4.0/

View MARC record | catkey: 33859841