[1]杨京帅,任书杭,马志政,等.道路交通碰撞事故致因建模与影响因素试验分析[J].东南大学学报(自然科学版),2015,45(5):1008-1012.[doi:10.3969/j.issn.1001-0505.2015.05.033]
 Yang Jingshuai,Ren Shuhang,Ma Zhizheng,et al.Modeling of road traffic collision accidents’ causes and experimental analysis of influential factors[J].Journal of Southeast University (Natural Science Edition),2015,45(5):1008-1012.[doi:10.3969/j.issn.1001-0505.2015.05.033]
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道路交通碰撞事故致因建模与影响因素试验分析()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
45
期数:
2015年第5期
页码:
1008-1012
栏目:
交通运输工程
出版日期:
2015-09-20

文章信息/Info

Title:
Modeling of road traffic collision accidents’ causes and experimental analysis of influential factors
作者:
杨京帅任书杭马志政王浩罗钿
长安大学汽车学院, 西安710064
Author(s):
Yang Jingshuai Ren Shuhang Ma Zhizheng Wang Hao Luo Tian
School of Automobile, Chang’an University, Xi’an 710064, China
关键词:
交通工程 道路交通事故 鱼骨图 方差分析 驾驶人 危险感知
Keywords:
traffic engineering road traffic accident fishbone diagram analysis of variance driver hazard perception
分类号:
U491
DOI:
10.3969/j.issn.1001-0505.2015.05.033
摘要:
为了分析交通情境与驾驶人因素导致道路交通碰撞事故的原因,采用智能群体建模、鱼骨图方法与试验测试相结合的方式,剖析了道路交通碰撞事故的致因及影响因素的显著性.模型分析结果表明,碰撞事故的致因取决于驾驶人对于交通情境危险信息及时准确的感知以及个体间的相对运动速度.交通情境中的危险识别率和发现时间百分位与危险的类别、交通情境的特点以及驾驶人的经验密切相关.潜在危险与实际危险在识别率与发现时间百分位上存在显著差异;动态危险的发现时间百分位小于静态危险;相比非熟练驾驶人,熟练驾驶人能够发现更多的危险信息,更快速地发现危险,并且对于交通情境的演变预测与判别更准确,具有更高的自信程度.
Abstract:
In order to study the causes of road traffic collision accidents by traffic situations and driver factors, the causes of collision accidents and the significance of the influential factors were analyzed by combining intelligent swarm behavior modeling, fishbone diagram method and experiment testing. The model analysis results indicate that the causes of collision accidents depend on the ability of driver perceiving hazardous information in traffic situations timely and accurately and the relative velocity between different individuals. The hazards recognition ratio and the detection time percentile are related to the hazard types, the characteristics of traffic situations and drivers’ experiences. There is significant difference of the hazards recognition ratio and the detection time percentile between latent hazards and factual hazards. Dynamic hazards can be found faster than statistic hazards. Compared with novice drivers, experienced drivers can find more hazardous information and find hazards faster. Besides, for experienced divers, the accuracy of forecasting and judging traffic situations development as well as the confidence are higher.

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备注/Memo

备注/Memo:
收稿日期: 2015-04-13.
作者简介: 杨京帅(1978—),男,博士,副教授,yangjingshuai78@163.com.
基金项目: 国家自然科学基金资助项目(51108040,51208052)、中央高校基本科研业务费专项资金资助项目(310822151022,2014G1221014).
引用本文: 杨京帅,任书杭,马志政,等.道路交通碰撞事故致因建模与影响因素试验分析[J].东南大学学报:自然科学版,2015,45(5):1008-1012. [doi:10.3969/j.issn.1001-0505.2015.05.033]
更新日期/Last Update: 2015-09-20