• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

研究不同功能形式下的失控撞车频率与交通流量之间的关系。

Investigating the relationship between run-off-the-road crash frequency and traffic flow through different functional forms.

机构信息

Laboratório Nacional de Engenharia Civil, Departamento de Transportes, Núcleo de Planeamento, Tráfego e Segurança, Av do Brasil 101, 1700-066 Lisboa, Portugal.

Laboratório Nacional de Engenharia Civil, Departamento de Transportes, Núcleo de Planeamento, Tráfego e Segurança, Av do Brasil 101, 1700-066 Lisboa, Portugal.

出版信息

Accid Anal Prev. 2014 Feb;63:121-32. doi: 10.1016/j.aap.2013.10.034. Epub 2013 Nov 13.

DOI:10.1016/j.aap.2013.10.034
PMID:24291069
Abstract

Crash prediction models play a major role in highway safety analysis. These models can be used for various purposes, such as predicting the number of road crashes or establishing relationships between these crashes and different covariates. However, the appropriate choice for the functional form of these models is generally not discussed in research literature on road safety. In case of run-off-the-road crashes, empirical evidence and logical considerations lead to conclusion that the relationship between expected frequency and traffic flow is not monotonously increasing.

摘要

碰撞预测模型在公路安全分析中起着重要作用。这些模型可用于各种目的,例如预测道路碰撞的数量,或建立这些碰撞与不同协变量之间的关系。然而,在道路安全研究文献中,通常没有讨论这些模型的函数形式的适当选择。在驶出路外碰撞的情况下,经验证据和逻辑考虑得出的结论是,预期频率与交通流量之间的关系不是单调递增的。

相似文献

1
Investigating the relationship between run-off-the-road crash frequency and traffic flow through different functional forms.研究不同功能形式下的失控撞车频率与交通流量之间的关系。
Accid Anal Prev. 2014 Feb;63:121-32. doi: 10.1016/j.aap.2013.10.034. Epub 2013 Nov 13.
2
On the nature of over-dispersion in motor vehicle crash prediction models.机动车碰撞预测模型中过度离散的本质
Accid Anal Prev. 2007 May;39(3):459-68. doi: 10.1016/j.aap.2006.08.002. Epub 2006 Dec 8.
3
Exploring the effects of roadway characteristics on the frequency and severity of head-on crashes: case studies from Malaysian federal roads.探讨道路特征对迎面相撞事故频率和严重程度的影响:来自马来西亚联邦道路的案例研究。
Accid Anal Prev. 2014 Jan;62:209-22. doi: 10.1016/j.aap.2013.10.001. Epub 2013 Oct 11.
4
Road safety from the perspective of driver gender and age as related to the injury crash frequency and road scenario.从驾驶员性别和年龄的角度来看道路安全与事故频率和道路场景的关系。
Traffic Inj Prev. 2014;15(1):25-33. doi: 10.1080/15389588.2013.794943.
5
Investigating the effect of modeling single-vehicle and multi-vehicle crashes separately on confidence intervals of Poisson-gamma models.分别研究单独建模单车事故和多车事故对泊松-伽马模型置信区间的影响。
Accid Anal Prev. 2010 Jul;42(4):1273-82. doi: 10.1016/j.aap.2010.02.004. Epub 2010 Mar 12.
6
Modeling crash outcome probabilities at rural intersections: application of hierarchical binomial logistic models.农村十字路口碰撞事故结果概率建模:分层二项逻辑模型的应用。
Accid Anal Prev. 2007 Jan;39(1):125-34. doi: 10.1016/j.aap.2006.06.011. Epub 2006 Aug 22.
7
A crash-prediction model for multilane roads.多车道道路的碰撞预测模型。
Accid Anal Prev. 2007 Jul;39(4):657-70. doi: 10.1016/j.aap.2006.10.012. Epub 2006 Nov 20.
8
Using naturalistic driving data to explore the association between traffic safety-related events and crash risk at driver level.利用自然驾驶数据探索驾驶员层面与交通安全相关事件和碰撞风险之间的关联。
Accid Anal Prev. 2014 Nov;72:210-8. doi: 10.1016/j.aap.2014.07.005. Epub 2014 Jul 31.
9
Modeling crash-flow-density and crash-flow-V/C ratio relationships for rural and urban freeway segments.模拟农村和城市高速公路路段的碰撞流量-密度关系以及碰撞流量-V/C比关系。
Accid Anal Prev. 2005 Jan;37(1):185-99. doi: 10.1016/j.aap.2004.07.003.
10
Aggregate crash prediction models: introducing crash generation concept.综合碰撞预测模型:引入碰撞生成概念。
Accid Anal Prev. 2010 Jan;42(1):339-46. doi: 10.1016/j.aap.2009.08.020. Epub 2009 Sep 30.

引用本文的文献

1
Extensive hypothesis testing for estimation of crash frequency models.用于碰撞频率模型估计的广泛假设检验。
Heliyon. 2024 Feb 23;10(5):e26634. doi: 10.1016/j.heliyon.2024.e26634. eCollection 2024 Mar 15.