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高速公路追尾碰撞事故起数预测模型研究
  • ISSN号:1003-3033
  • 期刊名称:中国安全科学学报
  • 时间:2015.4.1
  • 页码:58-62
  • 分类:X913.4[环境科学与工程—安全科学]
  • 作者机构:[1]长安大学汽车学院,陕西西安710064
  • 相关基金:国家自然科学基金资助(51208052,51308058); 陕西省科学技术研究发展计划项目(2013K13-04-02); 陕西省交通科技项目(10-22K)
  • 相关项目:山区高速公路交通事故致因分析及预防方法研究
中文摘要:

为分析显著影响追尾碰撞事故的因素,分别采用负二项(NB)回归模型和零堆积负二项(ZINB)回归模型建立追尾碰撞事故起数预测模型。通过模型的拟合优度检验和准确性检验,对比2种模型的优劣,采用弹性分析确定自变量对因变量的影响程度。以2006—2008年某高速公路发生的追尾碰撞事故进行实证性研究。结果表明:ZINB回归模型比NB回归模型具有更好的拟合效果和预测准确性;在ZINB回归模型中,曲度、曲线比例、车道宽度与追尾碰撞事故起数显著正相关,曲率变化率、相邻路段坡差和弯坡组合与追尾碰撞事故起数显著负相关;车道宽度、曲率变化率和曲度对追尾碰撞事故的发生影响尤为明显。

英文摘要:

In order to analyze factors influencing significantly rear-end collision accidents, two traffic accident frequency prediction models were established based on NB regression model and ZINB regression model respectively. According to results of goodness-of-fit and prediction accuracy, a comparative analysis was carried out between two prediction models. The elastic analysis method was used to determine influ- ence degree of the independent variables on the dependent variable. Rear-end collision accidents occurred on a certain expressway from 2006 to 2008 were taken as an example. The results show that rear-end colli- sion accident frequency prediction model based on ZINB model is better than that based on NB model, that in ZINB model, their is positive correlation of curvature, the proportion of curve and width of lanes with rear-end collision accident frequency, and there is a significant negative correlation of curvature variation, gradient on adjacent road and he combination of bending slope have with rear-end collision accident frequency, and that width of lanes, curvature variation and curvature have a significant effect on occurrence of rear-end collision accident.

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期刊信息
  • 《中国安全科学学报》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学技术协会
  • 主办单位:中国职业安全健康协会
  • 主编:徐德蜀
  • 地址:北京市东城区和平里九区甲4号安信大厦A306室
  • 邮编:100013
  • 邮箱:csstlp@263.net
  • 电话:010-64464782
  • 国际标准刊号:ISSN:1003-3033
  • 国内统一刊号:ISSN:11-2865/X
  • 邮发代号:
  • 获奖情况:
  • 中国科技论文统计用刊,第一届中国科协期刊优秀学术论文奖
  • 国内外数据库收录:
  • 美国化学文摘(网络版),波兰哥白尼索引,美国剑桥科学文摘,中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:31001