Research on improved algorithm for traffic information prediction

Dakai Yang, Li Wang, Jian Wang, Cai Baigen
{"title":"Research on improved algorithm for traffic information prediction","authors":"Dakai Yang, Li Wang, Jian Wang, Cai Baigen","doi":"10.1109/MAPE.2017.8250906","DOIUrl":null,"url":null,"abstract":"Predictions for traffic conditions, especially short-term prediction, is one of the central topics in traffic information simulation and controlling relevant research and practice. However, it is not easy to select the most appropriate traffic prediction method for one particular application. In this paper we select two typical methods in this field, then compared about the advantages and disadvantages. Based on this, we provide an improved algorithm to combine the advantages of these methods. To prove the effects, some real data were adopted for the calculation and simulation which were also shown in this paper.","PeriodicalId":320947,"journal":{"name":"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MAPE.2017.8250906","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Predictions for traffic conditions, especially short-term prediction, is one of the central topics in traffic information simulation and controlling relevant research and practice. However, it is not easy to select the most appropriate traffic prediction method for one particular application. In this paper we select two typical methods in this field, then compared about the advantages and disadvantages. Based on this, we provide an improved algorithm to combine the advantages of these methods. To prove the effects, some real data were adopted for the calculation and simulation which were also shown in this paper.
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
交通信息预测改进算法研究
交通状况预测,特别是短期预测,是交通信息仿真与控制相关研究与实践的中心课题之一。然而,为某一特定应用选择最合适的流量预测方法并不容易。本文选取了该领域两种典型的方法,并对其优缺点进行了比较。在此基础上,我们提出了一种改进的算法来结合这些方法的优点。为了证明该方法的效果,本文还采用了一些实际数据进行了计算和仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Clutter suppression for rough surface wall based on blind signal processing Design of compact dual-mode bandpass filter based on a new fractal resonator The research on shielding effectiveness measurement for electromagnetic shielding garments High-order method of moments for solving bodies of revolution using asymmetric wavelet transform Investigation of wireless power transfer with 3D metamaterial for efficiency enhancement
×
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