建立了基于无限重力模型算法的配送系统各区域货物运输运动仿真模型

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI:10.1109/ICSITECH.2017.8257112

J. Akbardin, D. Parikesit, A. Mulyono, B. Riyanto

{"title":"建立了基于无限重力模型算法的配送系统各区域货物运输运动仿真模型","authors":"J. Akbardin, D. Parikesit, A. Mulyono, B. Riyanto","doi":"10.1109/ICSITECH.2017.8257112","DOIUrl":null,"url":null,"abstract":"The simulation model of freight transportation distribution is indispensable to estimate and predict the growth of freight transportation movement in accordance with the development of influenced variables. Every zone has the characteristics of i generation production and movement distribution that is under the influenced of time and change region development. The simulation model of freight transportation distribution can be done by gravity model algorithm. Socio-economic development in the zones that have the characteristics of commodity goods generation production requires the alignment of infrastructure and means of transportation variables. More wider zone development would require a very large matrix form. The simulation model of transportation movement distribution that has been built up from matrix method of gravity model algorithm will facilitate and develop the more wider each zone interaction and more complex variables. Based on zone growth development and characteristics of resulted commodities goods production thus movement distribution prediction will be easy to be estimated and modeled.","PeriodicalId":165045,"journal":{"name":"2017 3rd International Conference on Science in Information Technology (ICSITech)","volume":"108 12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The distribution system simulation model of each zone freight transportation movement based on unlimited the gravity model algorithm\",\"authors\":\"J. Akbardin, D. Parikesit, A. Mulyono, B. Riyanto\",\"doi\":\"10.1109/ICSITECH.2017.8257112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The simulation model of freight transportation distribution is indispensable to estimate and predict the growth of freight transportation movement in accordance with the development of influenced variables. Every zone has the characteristics of i generation production and movement distribution that is under the influenced of time and change region development. The simulation model of freight transportation distribution can be done by gravity model algorithm. Socio-economic development in the zones that have the characteristics of commodity goods generation production requires the alignment of infrastructure and means of transportation variables. More wider zone development would require a very large matrix form. The simulation model of transportation movement distribution that has been built up from matrix method of gravity model algorithm will facilitate and develop the more wider each zone interaction and more complex variables. Based on zone growth development and characteristics of resulted commodities goods production thus movement distribution prediction will be easy to be estimated and modeled.\",\"PeriodicalId\":165045,\"journal\":{\"name\":\"2017 3rd International Conference on Science in Information Technology (ICSITech)\",\"volume\":\"108 12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 3rd International Conference on Science in Information Technology (ICSITech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSITECH.2017.8257112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 3rd International Conference on Science in Information Technology (ICSITech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSITECH.2017.8257112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

根据影响变量的发展，估计和预测货运运动的增长，货运分布的仿真模型是必不可少的。每个区域都具有受时间和区域发展变化影响的生成、生产和运动分布特征。利用重力模型算法可以建立货物运输分布的仿真模型。在具有商品生产特点的地区，社会经济发展要求基础设施和运输工具的变量保持一致。更宽的区域开发将需要一个非常大的矩阵形式。利用重力模型算法的矩阵法建立的交通运输运动分布仿真模型，将促进和发展更广泛的各区域相互作用和更复杂的变量。根据区域增长发展和结果商品生产特点，运动分布预测将易于估计和建模。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The distribution system simulation model of each zone freight transportation movement based on unlimited the gravity model algorithm

The simulation model of freight transportation distribution is indispensable to estimate and predict the growth of freight transportation movement in accordance with the development of influenced variables. Every zone has the characteristics of i generation production and movement distribution that is under the influenced of time and change region development. The simulation model of freight transportation distribution can be done by gravity model algorithm. Socio-economic development in the zones that have the characteristics of commodity goods generation production requires the alignment of infrastructure and means of transportation variables. More wider zone development would require a very large matrix form. The simulation model of transportation movement distribution that has been built up from matrix method of gravity model algorithm will facilitate and develop the more wider each zone interaction and more complex variables. Based on zone growth development and characteristics of resulted commodities goods production thus movement distribution prediction will be easy to be estimated and modeled.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 3rd International Conference on Science in Information Technology (ICSITech)

自引率

0.00%

发文量