• 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

与高速公路上连续和非连续碰撞相关的因素:一种两水平逻辑回归建模方法。

Factors associated with consecutive and non-consecutive crashes on freeways: A two-level logistic modeling approach.

机构信息

Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China.

Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, Shenzhen, China; Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China.

出版信息

Accid Anal Prev. 2021 May;154:106054. doi: 10.1016/j.aap.2021.106054. Epub 2021 Mar 2.

DOI:10.1016/j.aap.2021.106054
PMID:33667844
Abstract

A consecutive crash consists of a primary crash and one or more secondary crashes that occur subsequently in a short period of time within a certain distance. It often affects a relatively large area of road space and the traffic disruption created can be difficult for traffic managers to control and resolve. This study identifies the factors delineating a primary crash that results in secondary crashes within a minute from a regular crash that does not result in any secondary crashes. Random-effects, random-parameter and two-level binary logistic regression models are applied to data collected on 8779 crashes on the freeway network of the Guizhou Province, China in 2018, of which 299 are consecutive crashes. According to the AIC values, the two-level logistic model outperforms the other two models. Rear-end primary crashes have a significant random effect varying across road segments on the occurrence of consecutive crashes. Various crash types (rear-end, roll-over and side-swipe), tunnel crash and foggy weather are positively associated with the possibility to cause subsequent consecutive crashes, whereas single-vehicle crash, truck involvement and the time periods with poorer natural lighting are less likely to incur consecutive crashes. Recommendations are provided to minimize the possibility of the occurrence of consecutive crashes on a freeway.

摘要

连续碰撞是指在短时间内,在一定距离内相继发生的一次主碰撞和一次或多次次碰撞。它通常会影响到相对较大的道路空间区域,且由此造成的交通中断可能使交通管理人员难以控制和解决。本研究旨在确定导致次碰撞的主碰撞的因素,这些次碰撞发生在一分钟内,而不导致任何次碰撞的常规碰撞则不会发生。随机效应、随机参数和两级二元逻辑回归模型应用于 2018 年在中国贵州省高速公路网络上收集的 8779 起碰撞事故数据,其中 299 起为连续碰撞事故。根据 AIC 值,两级逻辑模型优于其他两个模型。追尾主碰撞在道路路段上具有显著的随机效应,这会影响连续碰撞的发生。各种碰撞类型(追尾、翻车和侧面碰撞)、隧道碰撞和雾天与发生后续连续碰撞的可能性呈正相关,而单车碰撞、卡车卷入和自然光照明较差的时间段则不太可能发生连续碰撞。本研究提供了一些建议,以最大限度地降低高速公路上连续碰撞发生的可能性。

相似文献

1
Factors associated with consecutive and non-consecutive crashes on freeways: A two-level logistic modeling approach.与高速公路上连续和非连续碰撞相关的因素:一种两水平逻辑回归建模方法。
Accid Anal Prev. 2021 May;154:106054. doi: 10.1016/j.aap.2021.106054. Epub 2021 Mar 2.
2
Influential Factors Associated with Consecutive Crash Severity: A Two-Level Logistic Modeling Approach.与连续碰撞严重程度相关的影响因素:一种两级逻辑回归建模方法。
Int J Environ Res Public Health. 2020 Aug 4;17(15):5623. doi: 10.3390/ijerph17155623.
3
Investigating the uniqueness of crash injury severity in freeway tunnels: A comparative study in Guizhou, China.探究高速公路隧道碰撞事故严重程度的独特性:中国贵州的一项比较研究。
J Safety Res. 2021 Jun;77:105-113. doi: 10.1016/j.jsr.2021.02.008. Epub 2021 Mar 26.
4
Investigating occupant injury severity of truck-involved crashes based on vehicle types on a mountainous freeway: A hierarchical Bayesian random intercept approach.基于山区高速公路车辆类型的卡车碰撞事故乘员伤害严重程度研究:分层贝叶斯随机截距方法。
Accid Anal Prev. 2020 Sep;144:105654. doi: 10.1016/j.aap.2020.105654. Epub 2020 Jun 26.
5
Assessment of Two-Vehicle and Multi-Vehicle Freeway Rear-End Crashes in China: Accommodating Spatiotemporal Shifts.中国两车辆和多车辆高速公路追尾事故评估:适应时空转移。
Int J Environ Res Public Health. 2022 Aug 18;19(16):10282. doi: 10.3390/ijerph191610282.
6
Assessing the likelihood of secondary crashes on freeways with Adaptive Signal Control System deployed on alternate routes.评估在部署于迂回路线上的自适应信号控制系统的高速公路上发生二次事故的可能性。
J Safety Res. 2021 Feb;76:314-326. doi: 10.1016/j.jsr.2020.12.020. Epub 2021 Jan 12.
7
Crash severity along rural mountainous highways in Malaysia: An application of a combined decision tree and logistic regression model.马来西亚农村山区公路的撞车严重程度:决策树与逻辑回归模型相结合的应用
Traffic Inj Prev. 2018;19(7):741-748. doi: 10.1080/15389588.2018.1482537. Epub 2018 Nov 6.
8
Understanding the effects of vehicle platoons on crash type and severity.理解车阵对事故类型和严重程度的影响。
Accid Anal Prev. 2021 Jan;149:105858. doi: 10.1016/j.aap.2020.105858. Epub 2020 Nov 18.
9
Exploring Factors Affecting Crash Injury Severity with Consideration of Secondary Collisions in Freeway Tunnels.探讨高速公路隧道中考虑二次碰撞情况下的碰撞事故伤害严重程度的影响因素。
Int J Environ Res Public Health. 2023 Feb 20;20(4):3723. doi: 10.3390/ijerph20043723.
10
Investigation on occupant injury severity in rear-end crashes involving trucks as the front vehicle in Beijing area, China.中国北京地区涉及卡车作为前车的追尾碰撞事故中驾乘人员损伤严重程度的调查。
Chin J Traumatol. 2017 Feb;20(1):20-26. doi: 10.1016/j.cjtee.2016.10.002. Epub 2016 Nov 9.

引用本文的文献

1
Comparative Analysis of Influencing Factors on Crash Severity between Super Multi-Lane and Traditional Multi-Lane Freeways Considering Spatial Heterogeneity.考虑空间异质性的超多车道与传统多车道高速公路碰撞严重程度影响因素的比较分析。
Int J Environ Res Public Health. 2022 Oct 6;19(19):12779. doi: 10.3390/ijerph191912779.
2
Crash severity analysis of vulnerable road users using machine learning.基于机器学习的弱势道路使用者碰撞严重度分析。
PLoS One. 2021 Aug 5;16(8):e0255828. doi: 10.1371/journal.pone.0255828. eCollection 2021.