Agriculture fleet vehicle routing: ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
Titre :
Agriculture fleet vehicle routing: A decentralised and dynamic problem
Auteur(s) :
Lujak, Marin [Auteur]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Lille Douai]
Sklar, Elizabeth [Auteur]
Semet, Frédéric [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Lille Douai]
Sklar, Elizabeth [Auteur]
Semet, Frédéric [Auteur]

Integrated Optimization with Complex Structure [INOCS]
Titre de la revue :
AI Communications
Pagination :
55-71
Éditeur :
IOS Press
Date de publication :
2021-02-15
ISSN :
0921-7126
Mot(s)-clé(s) en anglais :
Agri-robots
Autonomous fleet coordination
Multi-agent system
Vehicle routing problem
Capacitated arc routing problem
Autonomous fleet coordination
Multi-agent system
Vehicle routing problem
Capacitated arc routing problem
Discipline(s) HAL :
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Mathématique discrète [cs.DM]
Informatique [cs]/Mathématique discrète [cs.DM]
Résumé en anglais : [en]
To date, the research on agriculture vehicles in general and Agriculture Mobile Robots (AMRs) in particular has focused on a single vehicle (robot) and its agriculture-specific capabilities. Very little work has explored ...
Lire la suite >To date, the research on agriculture vehicles in general and Agriculture Mobile Robots (AMRs) in particular has focused on a single vehicle (robot) and its agriculture-specific capabilities. Very little work has explored the coordination of fleets of such vehicles in the daily execution of farming tasks. This is especially the case when considering overall fleet performance, its efficiency and scalability in the context of highly automated agriculture vehicles that perform tasks throughout multiple fields potentially owned by different farmers and/or enterprises. The potential impact of automating AMR fleet coordination on commercial agriculture is immense. Major conglomerates with large and heterogeneous fleets of agriculture vehicles could operate on huge land areas without human operators to effect precision farming. In this paper, we propose the Agriculture Fleet Vehicle Routing Problem (AF-VRP) which, to the best of our knowledge, differs from any other version of the Vehicle Routing Problem studied so far. We focus on the dynamic and decentralised version of this problem applicable in environments involving multiple agriculture machinery and farm owners where concepts of fairness and equity must be considered. Such a problem combines three related problems: the dynamic assignment problem, the dynamic 3-index assignment problem and the capacitated arc routing problem. We review the state-of-the-art and categorise solution approaches as centralised, distributed and decentralised, based on the underlining decision-making context. Finally, we discuss open challenges in applying distributed and decentralised coordination approaches to this problem.Lire moins >
Lire la suite >To date, the research on agriculture vehicles in general and Agriculture Mobile Robots (AMRs) in particular has focused on a single vehicle (robot) and its agriculture-specific capabilities. Very little work has explored the coordination of fleets of such vehicles in the daily execution of farming tasks. This is especially the case when considering overall fleet performance, its efficiency and scalability in the context of highly automated agriculture vehicles that perform tasks throughout multiple fields potentially owned by different farmers and/or enterprises. The potential impact of automating AMR fleet coordination on commercial agriculture is immense. Major conglomerates with large and heterogeneous fleets of agriculture vehicles could operate on huge land areas without human operators to effect precision farming. In this paper, we propose the Agriculture Fleet Vehicle Routing Problem (AF-VRP) which, to the best of our knowledge, differs from any other version of the Vehicle Routing Problem studied so far. We focus on the dynamic and decentralised version of this problem applicable in environments involving multiple agriculture machinery and farm owners where concepts of fairness and equity must be considered. Such a problem combines three related problems: the dynamic assignment problem, the dynamic 3-index assignment problem and the capacitated arc routing problem. We review the state-of-the-art and categorise solution approaches as centralised, distributed and decentralised, based on the underlining decision-making context. Finally, we discuss open challenges in applying distributed and decentralised coordination approaches to this problem.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Projet ANR :
Collections :
Source :
Fichiers
- https://eprints.lincoln.ac.uk/id/eprint/43570/1/lujak-sklar-semet-AIComm21-preprint.pdf
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