Travel Time Prediction in a Multimodal Freight Transport Relation Using Machine Learning Algorithms
Accurate travel time prediction is of high value for freight transports, as it allows supply chain participants to increase their logistics quality and efficiency. It requires both sufficient input data, which can be generated, e.g., by mobile sensors, and adequate prediction methods. Machine Learni...
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| Main Authors: | Nikolaos Servos, Xiaodi Liu, Michael Teucke, Michael Freitag |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-12-01
|
| Series: | Logistics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2305-6290/4/1/1 |
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