公路隧道群区交通事故的灰色马尔可夫预测分析

Wei Zhan, Q. Lü, Y. Shang
{"title":"公路隧道群区交通事故的灰色马尔可夫预测分析","authors":"Wei Zhan, Q. Lü, Y. Shang","doi":"10.13229/J.CNKI.JDXBGXB201401011","DOIUrl":null,"url":null,"abstract":"Based on the original data of traffic accidents in a typical highway tunnel group region, a grey forecasting model, which is modified by residual error model, is proposed to analyze the development trend of traffic accidents in highway tunnel group region. The forecasting accuracy is improved by introducing Markov optimization. Compared with commonly used forecasting method, the proposed method in this paper has a better forecasting accuracy and practicality in a period. It can be used for the forecasting analysis of traffic accidents and for security early warning in highway tunnel group region. Language: zh","PeriodicalId":16277,"journal":{"name":"Journal of Jilin University","volume":"43 1","pages":"62-67"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analysis of gray-Markov forecasting for traffic accidents in highway tunnel group region\",\"authors\":\"Wei Zhan, Q. Lü, Y. Shang\",\"doi\":\"10.13229/J.CNKI.JDXBGXB201401011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the original data of traffic accidents in a typical highway tunnel group region, a grey forecasting model, which is modified by residual error model, is proposed to analyze the development trend of traffic accidents in highway tunnel group region. The forecasting accuracy is improved by introducing Markov optimization. Compared with commonly used forecasting method, the proposed method in this paper has a better forecasting accuracy and practicality in a period. It can be used for the forecasting analysis of traffic accidents and for security early warning in highway tunnel group region. Language: zh\",\"PeriodicalId\":16277,\"journal\":{\"name\":\"Journal of Jilin University\",\"volume\":\"43 1\",\"pages\":\"62-67\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Jilin University\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.13229/J.CNKI.JDXBGXB201401011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Jilin University","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13229/J.CNKI.JDXBGXB201401011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

基于典型公路隧道群区域交通事故的原始数据,提出了一种基于残差模型修正的灰色预测模型,用于分析公路隧道群区域交通事故的发展趋势。通过引入马尔可夫优化,提高了预测精度。与常用的预测方法相比,本文提出的方法具有更好的预测精度和周期内的实用性。该模型可用于公路隧道群区交通事故预测分析和安全预警。语言:zh型
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of gray-Markov forecasting for traffic accidents in highway tunnel group region
Based on the original data of traffic accidents in a typical highway tunnel group region, a grey forecasting model, which is modified by residual error model, is proposed to analyze the development trend of traffic accidents in highway tunnel group region. The forecasting accuracy is improved by introducing Markov optimization. Compared with commonly used forecasting method, the proposed method in this paper has a better forecasting accuracy and practicality in a period. It can be used for the forecasting analysis of traffic accidents and for security early warning in highway tunnel group region. Language: zh
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信