A Study on Traffic Risk Assessment of Road Section with High Rate of Bridge and Tunnel of Freeway

Che Shaohui, Li-zeng Mao, Zhao Na-le
{"title":"A Study on Traffic Risk Assessment of Road Section with High Rate of Bridge and Tunnel of Freeway","authors":"Che Shaohui, Li-zeng Mao, Zhao Na-le","doi":"10.1109/ICICTA.2015.34","DOIUrl":null,"url":null,"abstract":"Road Section with high rate of bridge and tunnel of freeway is the potential high risk section of safety and efficiency. This paper focuses on the traffic operation risk assessment of Road Section with high rate of bridge and tunnel of freeway. Firstly, the average speed and coefficient of variation of speed are selected as the traffic operation risk index and treated as the independent variables. Besides, average risk level index is built as the dependent index. Then the multivariate linear traffic operation risk assessment model is established. Take the Ma-Zhao Freeway in Yunnan as the demonstration road, traffic simulation is conducted. Using the output data of simulation, multiple linear regression is applied to estimate the coefficients of traffic operation risk assessment model of Road Section with high rate of bridge and tunnel of freeway. Finally, according to the cumulative frequency curve of average risk level index, traffic operation risk classification standard of road section with high rate of bridge and tunnel of freeway is established.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTA.2015.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Road Section with high rate of bridge and tunnel of freeway is the potential high risk section of safety and efficiency. This paper focuses on the traffic operation risk assessment of Road Section with high rate of bridge and tunnel of freeway. Firstly, the average speed and coefficient of variation of speed are selected as the traffic operation risk index and treated as the independent variables. Besides, average risk level index is built as the dependent index. Then the multivariate linear traffic operation risk assessment model is established. Take the Ma-Zhao Freeway in Yunnan as the demonstration road, traffic simulation is conducted. Using the output data of simulation, multiple linear regression is applied to estimate the coefficients of traffic operation risk assessment model of Road Section with high rate of bridge and tunnel of freeway. Finally, according to the cumulative frequency curve of average risk level index, traffic operation risk classification standard of road section with high rate of bridge and tunnel of freeway is established.
高速公路高桥隧率路段交通风险评价研究
高速公路桥隧开工率高的路段是潜在的安全、效率高风险路段。本文对高速公路高桥隧率路段的交通运营风险评价进行了研究。首先选取平均车速和车速变异系数作为交通运行风险指标,作为自变量;建立平均风险水平指标作为依赖指标。然后建立多元线性交通运营风险评估模型。以云南马昭高速公路为示范公路,进行交通仿真。利用仿真输出数据,运用多元线性回归方法对高速公路高桥隧路段交通运行风险评估模型的系数进行估计。最后,根据平均风险等级指标的累积频率曲线,建立了高速公路高桥隧率路段的交通运营风险分级标准。
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 求助全文
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