[1]靳文舟,姚尹杰.多因素耦合作用下的车辆群事故伤害程度估计[J].郑州大学学报(工学版),2021,42(03):1-7.[doi:10.13705/j.issn.1671-6833.2021.03.001]
 Jin Wenzhou,Yao Yinjie,Estimation of Accident Injury Severity of Vehicle Groups Considering Multi-factor Coupling[J].Journal of Zhengzhou University (Engineering Science),2021,42(03):1-7.[doi:10.13705/j.issn.1671-6833.2021.03.001]
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多因素耦合作用下的车辆群事故伤害程度估计()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
42卷
期数:
2021年03期
页码:
1-7
栏目:
出版日期:
2021-05-10

文章信息/Info

Title:
Estimation of Accident Injury Severity of Vehicle Groups Considering Multi-factor Coupling
作者:
靳文舟姚尹杰
华南理工大学土木与交通学院;
Author(s):
Jin Wenzhou; Yao Yinjie;
School of Civil and Transportation, South China University of Technology;
关键词:
Keywords:
highway vehicle group injury degree random parameters multi-factor coupling heterogeneity
DOI:
10.13705/j.issn.1671-6833.2021.03.001
文献标志码:
A
摘要:
为了深入探究多因素耦合作用下公路车辆群事故伤害影响因素 ,提取美国得克萨斯州 2016 年的公路碰撞数据,从4 个方面(道路特性、驾驶员特性、车辆特征、环境因素) 选择 21个备选因素,构建考虑异质性的公路车辆群事故随机参数Logit 模型,同时利用边际效应公式计算每个因素对碰撞伤害程度大小的影响。结果表明:驾驶员性别、年龄、是否都使用安全带、安全气囊起爆与否等15个单因素,以及都系安全带、安全气囊起爆、老年驾驶员、大货车等4 个耦合因素均与公路车辆群事故伤害程度显著相关,且“道路限速值>100km/h” 与 “安全气囊起爆与否” 这2 个参数对公路车辆群事故伤害程度的影响具有差异性。研究结果对降低公路车辆群事故严重程度有一定指导作用。
Abstract:
In order to explore the influencing factors and their heterogenous impacts on vehicle groups accident under the multi-factor coupling effect, a random parameter logit model was developed based on 21 types of alternative factors in 4 aspects (road characteristics, driver characteristics, vehicle characteristics, environmental factors) from the road crash data of Texas in 2016. And the marginal effect formula was used to measure the impact of each factor on the level of collision damage. The model estimation results showed that 15 types of single factors such as driver gender, age, the use of seat belts, the release of airbags, and 4 coupling factors such as all seat belts-airbag initiation, elderly drivers-large trucks were significantly related to the degree of road vehicle accident injury; road speed limited >100 km/h, and the release of airbags had differences in the degree of injury from different accidents. The research results could have a certain guiding role in reducing the severity of highway multi-vehicle accidents.

参考文献/References:

[1] 张吉光,邵维.高速公路多车连环追尾事故影响因素分析[J].长沙大学学报,2015,29(5):63-64.

[2] 尹若愚.车-车碰撞事故深度调查技术研究[D].长沙: 长沙理工大学,2017.
[3] 王佳丽.雾天高速公路连环追尾事故风险产生机理研究[D].北京: 北京交通大学,2018.
[4] MANNERING F L, BHAT C R. Analytic methods in accident research: methodological frontier and future directions[J]. Analytic methods in accident research,2014,1:1-22.
[5] HU W, DONNELL E T. Median barrier crash severity: some new insights[J].Accident analysis & prevention,2010,42(6):1697-1704.
[6] MORRIS C, YANG J J J. Understanding multi-vehicle collision patterns on freeways:a machine learning approach[J]. Infrastructures, 2020, 5(8):62.
[7] HONG J, TAMAKLOE R, PAKE D. A comprehensive analysis of multi-vehicle crashes on expressways: a double hurdle approach[J]. Sustainability, 2019,11(10):2782.
[8] 汤左淦.考虑异质性效应的翻车事故伤害程度模型对比研究[D].广州: 华南理工大学,2019.
[9] HOLDRIDGE J M, SHANKAR V N, ULFARSSON G F. The crash severity impacts of fixed roadside objects[J]. Journal of safety research,2005,36(2):139-147.
[10] 王灿,王德,朱玮,等.离散选择模型研究进展[J].地理科学进展, 2015, 34(10): 1275-1287.
[11] WALLIS A L, GREAVES I. Injuries associated with airbag deployment[J]. Emergency medicine journal,2002, 19(6):490-493.
[12] PALETI R, ELURU N, BHAT C R. Examining the influence of aggressive driving behavior on driver injury severity in traffic crashes[J]. Accident analysis and prevention,2010,42(6):1839-1854.

更新日期/Last Update: 2021-06-23