AI-supported Forecasting of Intermodal Freight Transportation Delivery Time

Author:

Antamis Thanasis,Medentzidis Charalampos-Rafail,Skoumperdis Michael,Vafeiadis Thanasis,Nizamis Alexandros,Ioannidis Dimosthenis,Tzovaras Dimitrios

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robust Truck Transit Time Prediction through GPS Data and Regression Algorithms in Mixed Traffic Scenarios;Mathematics;2024-06-28

2. Digital Transformation as a Driver of Sustainability Performance—A Study from Freight and Logistics Industry;Sustainability;2024-05-20

3. An Analysis of IT Outsourcing Risks in Post-COVID World;2023 IEEE 64th International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS);2023-10-05

4. Utilizing machine learning on freight transportation and logistics applications: A review;ICT Express;2022-02

5. An Agenda on the Employment of AI Technologies in Port Areas: The TEBETS Project;Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence;2022

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