AI-Based Transportation Planning and Operation
Object category:
Elektronische Ressource
Person/Institution:
Publisher:
MDPI - Multidisciplinary Digital Publishing Institute
Place of publication:
Basel, Switzerland
Date:
2021
Extent, illustration, format:
1 Online-Ressource (124 p.)
Language:
Englisch
Providing institution:
Additional information
Abstract:
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
Object text:
English
Access and usage options
Contact
Universität Erfurt
Forschungsbibliothek Gotha
Schloss Friedenstein
Schlossplatz 1
99867 Gotha
+49 361 737-5540
bibliothek.gotha(at)uni-erfurt.de
Forschungsbibliothek Gotha
Schloss Friedenstein
Schlossplatz 1
99867 Gotha
+49 361 737-5540
bibliothek.gotha(at)uni-erfurt.de
Administrative details
Created:
2023-04-13
Last changed:
2021-11-25
Added to portal:
2023-04-13
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