AI-Based Transportation Planning and Operation

Sohn, Keemin

AI-Based Transportation Planning and Operation - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (124 p.)

Open Access

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.


Creative Commons

9783036503646

10.3390/books978-3-0365-0365-3

autoencoder

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