Enhancing Route Optimization in Road Transport Systems Through Machine Learning: A Case Study of the Dakhla-Paris Corridor

Enhancing Route Optimization in Road Transport Systems Through Machine Learning: A Case Study of the Dakhla-Paris Corridor

Road transport systems (RTS) play an essential role in global supply chains, facilitating the efficient transport of goods and services over long distances and thus supporting economic activity on a worldwide scale. However, these systems face numerous challenges, particularly regarding safety, cost...

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Bibliographic Details
Main Authors: Najib El Karkouri, Lahcen Hassine, Younes Ledmaoui, Hasna Chaibi, Rachid Saadane, Nourddine Enneya, Mohamed El Aroussi
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Future Transportation
Subjects:
road transportation systems
route optimization
machine learning
neural networks
transport efficiency
cost reduction
Online Access:https://www.mdpi.com/2673-7590/5/2/60
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