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 o...

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Detalles Bibliográficos
Otros Autores: Sohn, Keemin (Editor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654497806719
Descripción
Sumario: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.
Descripción Física:1 electronic resource (124 p.)
Acceso:Open access