Preparation of Big Data Sets for Optimization of Intercity Freight Driver Schedules

The problem of using big data for optimal planning of work and rest of truck drivers in intercity freight transportation is considered. The problem is solved for a team of drivers in compliance with the EU regulation 561/2006. The proposed data preparation can reduce the practical computational comp...

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Autors principals:	Olexandr Melnychenko, Myroslav Oliskevych, Nazar Khomyn
Format:	Artigo
Idioma:	Inglês
Publicat:	University of Žilina 2026-04-01
Col·lecció:	Communications
Matèries:	road transportation driver scheduling big data clustering order compatibility
Accés en línia:	https://komunikacie.uniza.sk/artkey/csl-202602-0008_preparation-of-big-data-sets-for-optimization-of-intercity-freight-driver-schedules.php
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