基于微分方程和马尔可夫过程的人群运动建模

Naohiro Ishii, Kazuya Odagiri, Hidekazu Iwamoto, Satoshi Takahashi, T. Matsuo
{"title":"基于微分方程和马尔可夫过程的人群运动建模","authors":"Naohiro Ishii, Kazuya Odagiri, Hidekazu Iwamoto, Satoshi Takahashi, T. Matsuo","doi":"10.1109/iiai-aai53430.2021.00063","DOIUrl":null,"url":null,"abstract":"Peoples movements have been interested in from the point of understanding, management and decisions for event organizers and the persons concerned, who will do planning their hospitality and every service plans. To perform modeling of the peoples movements, an effective description will be expected for their systematic analysis. In this paper, the delay differential equations and Markov process model of the peoples movements are developed to catch the rough behavior of the people. Then, the peoples convergence, divergence and approaching to the constant values are shown. Further, this paper proposes the estimation method of the Markov order of the movements computed simply using the number of peoples and their correlations. It is shown that the simulation models based on the differential equations and Markov process are useful for understanding peoples movements.","PeriodicalId":414070,"journal":{"name":"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling Peoples Movements Based on Differential Equation and Markov Process\",\"authors\":\"Naohiro Ishii, Kazuya Odagiri, Hidekazu Iwamoto, Satoshi Takahashi, T. Matsuo\",\"doi\":\"10.1109/iiai-aai53430.2021.00063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Peoples movements have been interested in from the point of understanding, management and decisions for event organizers and the persons concerned, who will do planning their hospitality and every service plans. To perform modeling of the peoples movements, an effective description will be expected for their systematic analysis. In this paper, the delay differential equations and Markov process model of the peoples movements are developed to catch the rough behavior of the people. Then, the peoples convergence, divergence and approaching to the constant values are shown. Further, this paper proposes the estimation method of the Markov order of the movements computed simply using the number of peoples and their correlations. It is shown that the simulation models based on the differential equations and Markov process are useful for understanding peoples movements.\",\"PeriodicalId\":414070,\"journal\":{\"name\":\"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iiai-aai53430.2021.00063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iiai-aai53430.2021.00063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

从活动组织者和有关人员的理解、管理和决策的角度来看,人们对人民运动很感兴趣,他们将规划他们的接待和每项服务计划。要对人民运动进行建模,需要对其进行系统分析的有效描述。本文建立了人的运动时滞微分方程和马尔可夫过程模型来捕捉人的粗暴行为。在此基础上,分析了各变量的收敛性、发散性和趋近性。在此基础上,提出了简单地利用人的数量及其相关性来估计运动的马尔可夫阶的方法。结果表明,基于微分方程和马尔可夫过程的仿真模型有助于理解人的运动。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Modeling Peoples Movements Based on Differential Equation and Markov Process
Peoples movements have been interested in from the point of understanding, management and decisions for event organizers and the persons concerned, who will do planning their hospitality and every service plans. To perform modeling of the peoples movements, an effective description will be expected for their systematic analysis. In this paper, the delay differential equations and Markov process model of the peoples movements are developed to catch the rough behavior of the people. Then, the peoples convergence, divergence and approaching to the constant values are shown. Further, this paper proposes the estimation method of the Markov order of the movements computed simply using the number of peoples and their correlations. It is shown that the simulation models based on the differential equations and Markov process are useful for understanding peoples movements.
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
自引率
0.00%
发文量
0
期刊最新文献
An analysis of preferences of convention attendees in the time of Covid-19 pandemic Visual Effects for Real Time Ocean Water Rendering Analysis of commands of Telnet logs illegally connected to IoT devices Design, modeling and parameters identification of rotary-type double inverted pendulum An Improved NSGA-II for Service Provider Composition in Knowledge-Intensive Crowdsourcing
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1