Freight transportation route time prediction with ensemble learning techniques
Author:
Affiliation:
1. Aristotle University of Thessaloniki, Greece
2. Center for Research and Technology Hellas, Greece
Funder
General Secretariat for Research and Innovation (GSRI)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3503823.3503833
Reference24 articles.
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2. R.D. Alcoba and K. Ohlund. 2017. Predicting on-time delivery in the trucking industry. MIT Press. R.D. Alcoba and K. Ohlund. 2017. Predicting on-time delivery in the trucking industry. MIT Press.
3. S. Bakhtyara and J. Holmgren. 2015. A data mining based method for route and freight estimation. Procedia Computer Science(2015). S. Bakhtyara and J. Holmgren. 2015. A data mining based method for route and freight estimation. Procedia Computer Science(2015).
4. A. Balster O. Hansen H. Friedrich and A. Ludwig. 2020. An ETA Prediction Model for Intermodal Transport Networks Based on Machine Learning. Business and Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK (oct 2020) 403-416 pages. https://doi.org/10.1007/s12599-020-00653-0 A. Balster O. Hansen H. Friedrich and A. Ludwig. 2020. An ETA Prediction Model for Intermodal Transport Networks Based on Machine Learning. Business and Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK (oct 2020) 403-416 pages. https://doi.org/10.1007/s12599-020-00653-0
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