Travel time prediction in a multimodal freight transport relation using machine learning algorithms
Year of publication: |
2020
|
---|---|
Authors: | Servos, Nikolaos ; Liu, Xiaodi ; Teucke, Michael ; Freitag, Michael |
Published in: |
Logistics. - Basel : MDPI AG, ISSN 2305-6290, ZDB-ID 2908937-2. - Vol. 4.2020, 1, p. 1-22
|
Subject: | logistics | machine learning | multimodal freight transports | supply chain management | travel time prediction | Künstliche Intelligenz | Artificial intelligence | Güterverkehr | Freight transport | Transportzeit | Travel time | Lieferkette | Supply chain | Logistik | Logistics | Algorithmus | Algorithm | Prognoseverfahren | Forecasting model | Intermodaler Verkehr | Intermodal transport | Logistikunternehmen | Logistics provider | Tourenplanung | Vehicle routing problem |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.3390/logistics4010001 [DOI] hdl:10419/310099 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Oguntola, Ibrahim O., (2024)
-
Chen, Claire Yi-Ting, (2021)
-
Decomposition approach for integrated intermodal logistics network design
Ghane-Ezabadi, Mohammad, (2016)
- More ...
-
Travel time prediction in a multimodal freight transport relation using machine learning algorithms
Servos, Nikolaos, (2020)
-
Autonomous control of logistic processes : a retrospective
Schukraft, Susanne, (2021)
-
Automobile Logistics 4.0 : advances through digitalization
Hoff-Hoffmeyer-Zlotnik, Marit, (2021)
- More ...