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Optimization of Railway Mixed Goods Loading Layout considering Stability

It is well known that stability, center-of-gravity balance, and concentrated-weight are key factors of the transportation safety. The reasonable formulation of the loading layout scheme ensures the safety of shipment based on fully utilizing the effective volume and load capacity of freight vehicles...

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Autores principales: Wang, Juan, Yao, Yinghua, Zhang, Yinggui, Wang, Ximing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420564/
https://www.ncbi.nlm.nih.gov/pubmed/36045960
http://dx.doi.org/10.1155/2022/1517280
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author Wang, Juan
Yao, Yinghua
Zhang, Yinggui
Wang, Ximing
author_facet Wang, Juan
Yao, Yinghua
Zhang, Yinggui
Wang, Ximing
author_sort Wang, Juan
collection PubMed
description It is well known that stability, center-of-gravity balance, and concentrated-weight are key factors of the transportation safety. The reasonable formulation of the loading layout scheme ensures the safety of shipment based on fully utilizing the effective volume and load capacity of freight vehicles. This paper takes the railway mixed goods loading layout as the research object, considering the constraints such as goods loading center-of-gravity balance, the allowable moment of concentrated-weight, supporting and goods placement mode, and taking the maximum comprehensive utilization rates for both effective volume and load capacity of freight vehicle as the optimization objective, an optimization model of railway mixed goods balanced and anticoncentrated-weight loading layout considering stability is built. Additionally, this paper designs mixed goods classified and simple/general goods block composition methods. We improve the representation and selection of layout space, construct goods block selection algorithm based on the greedy d-step lookahead tree search and goods block evaluation function and propose a goods block placement strategy and update rules of layout space after goods block placement. An optimization algorithm of railway mixed goods balanced and anticoncentrated-weight load layout considering stability is designed. The results show that the formulated scheme not only ensures that the goods meet the full support constraints, but also the comprehensive utilization rate of the effective volume and load capacity of the vehicle is not less than 89%, and the probability of meeting the loading center-of-gravity balance and allowable moment of concentrated-weight are as high as 99% and 99.47%, respectively. The proposed method realizes the balanced and anticoncentrated-weight loading of railway mixed goods, ensures the safe, stable, and efficient goods loading, and provides decision support for the safe loading layout of railway goods.
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spelling pubmed-94205642022-08-30 Optimization of Railway Mixed Goods Loading Layout considering Stability Wang, Juan Yao, Yinghua Zhang, Yinggui Wang, Ximing Comput Intell Neurosci Research Article It is well known that stability, center-of-gravity balance, and concentrated-weight are key factors of the transportation safety. The reasonable formulation of the loading layout scheme ensures the safety of shipment based on fully utilizing the effective volume and load capacity of freight vehicles. This paper takes the railway mixed goods loading layout as the research object, considering the constraints such as goods loading center-of-gravity balance, the allowable moment of concentrated-weight, supporting and goods placement mode, and taking the maximum comprehensive utilization rates for both effective volume and load capacity of freight vehicle as the optimization objective, an optimization model of railway mixed goods balanced and anticoncentrated-weight loading layout considering stability is built. Additionally, this paper designs mixed goods classified and simple/general goods block composition methods. We improve the representation and selection of layout space, construct goods block selection algorithm based on the greedy d-step lookahead tree search and goods block evaluation function and propose a goods block placement strategy and update rules of layout space after goods block placement. An optimization algorithm of railway mixed goods balanced and anticoncentrated-weight load layout considering stability is designed. The results show that the formulated scheme not only ensures that the goods meet the full support constraints, but also the comprehensive utilization rate of the effective volume and load capacity of the vehicle is not less than 89%, and the probability of meeting the loading center-of-gravity balance and allowable moment of concentrated-weight are as high as 99% and 99.47%, respectively. The proposed method realizes the balanced and anticoncentrated-weight loading of railway mixed goods, ensures the safe, stable, and efficient goods loading, and provides decision support for the safe loading layout of railway goods. Hindawi 2022-08-21 /pmc/articles/PMC9420564/ /pubmed/36045960 http://dx.doi.org/10.1155/2022/1517280 Text en Copyright © 2022 Juan Wang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Juan
Yao, Yinghua
Zhang, Yinggui
Wang, Ximing
Optimization of Railway Mixed Goods Loading Layout considering Stability
title Optimization of Railway Mixed Goods Loading Layout considering Stability
title_full Optimization of Railway Mixed Goods Loading Layout considering Stability
title_fullStr Optimization of Railway Mixed Goods Loading Layout considering Stability
title_full_unstemmed Optimization of Railway Mixed Goods Loading Layout considering Stability
title_short Optimization of Railway Mixed Goods Loading Layout considering Stability
title_sort optimization of railway mixed goods loading layout considering stability
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420564/
https://www.ncbi.nlm.nih.gov/pubmed/36045960
http://dx.doi.org/10.1155/2022/1517280
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