Traffic management of multi-AGV systems by improved dynamic resource reservation

Automated guided vehicles (AGVs) are widely used for material handling in warehouses and automated production lines due to their high efficiency and low failure rate with respect to human operated load carriers. However, AGVs usually interact with each other because of the restricted capacity of the...

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Detalles Bibliográficos
Autores: Verma, Parikshit, Olm Miras, Josep Maria|||0000-0003-4925-9251, Suárez Feijóo, Raúl|||0000-0002-3853-7095
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/404200
Acceso en línea:https://hdl.handle.net/2117/404200
https://dx.doi.org/10.1109/ACCESS.2024.3362293
Access Level:acceso abierto
Palabra clave:Automated guided vehicle systems
Traffic engineering
Multi-AGV system
Collision and deadlock avoidance
Dynamic resource reservation
Traffic control
Vehicles de guiatge automàtic
Enginyeria del trànsit
Àrees temàtiques de la UPC::Informàtica::Robòtica
Descripción
Sumario:Automated guided vehicles (AGVs) are widely used for material handling in warehouses and automated production lines due to their high efficiency and low failure rate with respect to human operated load carriers. However, AGVs usually interact with each other because of the restricted capacity of the layout, and conflicts arise. Although many traffic scheduling algorithms have been proposed to address the AGV fleet control problem, most of them are inefficient for collision and deadlock avoidance in dynamic environments. This paper proposes an improved dynamic resource reservation (IDRR) based method which renders time-efficient task completion and deadlock-free movements of multiple AGVs in a manufacturing system. Unlike traditional approaches, most of which adopt a dynamic single agent reservation of the shared resource points and/or force path deviations, IDRR exploits dynamic multiple reservations of shared resource points. This is combined with a conflict detection and resolution method that accommodates the AGV motions when they meet at a resource point. Extensive, realistic simulation results demonstrate the feasibility and efficiency of the proposed collision and deadlock prevention method in productivity, travelled distance, and time completion of the assigned tasks. The proposal can be implemented on both central and local controllers.