Dynamic Adjustment Strategy of Rail Guide Vehicle

For the dynamic adjustment strategy of intelligent rail guide vehicle, the dynamic planning model has been built with the longest working time in the paper. In solving this problem, the longest target of the rail guide vehicles’ running time is converted to find the optimal moving path of the rail g...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Wenbin Liu, Dongbing Liu
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/3d93ff8010e94ce782f69555a9713f8c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3d93ff8010e94ce782f69555a9713f8c
record_format	dspace
spelling	oai:doaj.org-article:3d93ff8010e94ce782f69555a9713f8c2021-11-08T02:37:20ZDynamic Adjustment Strategy of Rail Guide Vehicle1875-905X10.1155/2021/1433552https://doaj.org/article/3d93ff8010e94ce782f69555a9713f8c2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1433552https://doaj.org/toc/1875-905XFor the dynamic adjustment strategy of intelligent rail guide vehicle, the dynamic planning model has been built with the longest working time in the paper. In solving this problem, the longest target of the rail guide vehicles’ running time is converted to find the optimal moving path of the rail guide vehicles. Drawing on the shortest path idea, the model uses the Floyd algorithm and the simulated annealing algorithm. The longest running time of the rail guide vehicles in the model is the innovation point in the paper. When the rail guide vehicles path is optimal, when the rail guide vehicles is the busiest, the system is the most efficient.Wenbin LiuDongbing LiuHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Wenbin Liu Dongbing Liu Dynamic Adjustment Strategy of Rail Guide Vehicle
description	For the dynamic adjustment strategy of intelligent rail guide vehicle, the dynamic planning model has been built with the longest working time in the paper. In solving this problem, the longest target of the rail guide vehicles’ running time is converted to find the optimal moving path of the rail guide vehicles. Drawing on the shortest path idea, the model uses the Floyd algorithm and the simulated annealing algorithm. The longest running time of the rail guide vehicles in the model is the innovation point in the paper. When the rail guide vehicles path is optimal, when the rail guide vehicles is the busiest, the system is the most efficient.
format	article
author	Wenbin Liu Dongbing Liu
author_facet	Wenbin Liu Dongbing Liu
author_sort	Wenbin Liu
title	Dynamic Adjustment Strategy of Rail Guide Vehicle
title_short	Dynamic Adjustment Strategy of Rail Guide Vehicle
title_full	Dynamic Adjustment Strategy of Rail Guide Vehicle
title_fullStr	Dynamic Adjustment Strategy of Rail Guide Vehicle
title_full_unstemmed	Dynamic Adjustment Strategy of Rail Guide Vehicle
title_sort	dynamic adjustment strategy of rail guide vehicle
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/3d93ff8010e94ce782f69555a9713f8c
work_keys_str_mv	AT wenbinliu dynamicadjustmentstrategyofrailguidevehicle AT dongbingliu dynamicadjustmentstrategyofrailguidevehicle
_version_	1718442991300902912

Dynamic Adjustment Strategy of Rail Guide Vehicle

Ejemplares similares