Design and Training a Routing Model for Predicting E-Commerce Logistics Distribution Systems in Transportation and Delivery of Educational Goods for Students Using Existing Algorithms, Big Data Analysis, and Machine Learning Methods

Authors

  • Shiva Khalili Gheidari

Keywords:

Logistics distribution, e-commerce, big data, training system, machine learning technique]

Abstract

The problem of vehicle routing for delivering goods in e-commerce is one of the most important issues in the world's industries, which has received much attention today due to its real-world applications in industrial issues. Trying to increase the efficiency of the transportation system is a big step towards making the activities of this sector more economical.

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References

Badri M, Kazemi Seyyed Mohammad, Rahimi H, (2025), Presenting the behavioral model of citizens in selection of trip vehicle with emphasis on how to go to work, Case Studies on Transport Policy Volume 19 , 101304. https://doi.org/10.1016/j.cstp.2024.1013 04

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Published

2025-07-07

How to Cite

Shiva Khalili Gheidari. (2025). Design and Training a Routing Model for Predicting E-Commerce Logistics Distribution Systems in Transportation and Delivery of Educational Goods for Students Using Existing Algorithms, Big Data Analysis, and Machine Learning Methods . Pegem Journal of Education and Instruction, 15(5), 136–166. Retrieved from https://pegegog.net/index.php/pegegog/article/view/4161

Issue

Vol. 15 No. 5 (2025): PEGEGOG

Section

Article

License

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