Uncertainty in real-world vehicle routing

Sobotka,  Václav; Rudová,  Hana

Uncertainty in real-world vehicle routing

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Authors	SOBOTKA Václav RUDOVÁ Hana
Year of publication	2024
Type	Article in Proceedings
Conference	Frontiers in Artificial Intelligence and Applications
MU Faculty or unit	Faculty of Informatics
Citation
Doi	http://dx.doi.org/10.3233/FAIA241006
Keywords	Vehicle routing;stochastic optimization;uncertainty
Description	The paper addresses common uncertain factors in real-world vehicle routing applications. Four generic uncertainty-handling mechanisms are introduced and analysed. The paper demonstrates that uncertainty may be realistically handled even for large-scale and complex problems using the discussed mechanisms.
Related projects:	Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity 24 Applied research at FI: Forensic aspects of critical infrastructures, applied cryptography, cybersecurity trainings, scheduling algorithms logistics and algorithms for physical sensors