摘要
为改善山区农村公路无信号交叉口安全风险量化、配套评估方法缺乏的现状,通过文献查阅和实地勘察的方法,建立了涵盖交通特性、山区农村道路条件、交通安全设施3大板块以及9大特征的山区农村公路无信号交叉口安全风险评估模型。首先,采用多元化、多渠道、多群体问询的调查问卷方法,综合不同人群关于交叉口安全风险的评价,对特征指标进行赋值与量化。为避免人为主观因素对特征指标权重的影响,运用熵权逼近理想解排序(technique for order preference by similarity to an ideal solution,TOPSIS)法确定指标权重,使权重的确定摆脱主观干扰从而更加准确科学。其次,采用加权广义马氏距离与欧式距离贴近度进行对比,数据较为贴合,验证了模型的可行性。最终,结合工程实例,依据指标熵权大小,对安全风险较大的无信号交叉口提出改善措施。研究结果表明,山区农村公路无信号交叉口安全风险指标中线形、视距、坡度占据前三位,权重分别为0.123、0.119、0.114,与交通事故实际调查主要致因排序相近,自从执行改善措施以来,暂无交通事故发生,为定量评估山区农村公路无信号交叉口安全风险提供了新思路。
In order to improve the mountainous rural highway no signal intersection safety risk quantification,lack of form a complete set of evaluation method of the status quo,by the methods of literature review and field investigation,a safety risk assessment model for unsignalized intersections of rural roads in mountainous areas was established,which covers three parts:traffic characteristics,rural road conditions in mountainous areas,traffic safety facilities and nine characteristics.The questionnaire method of diversified,multi-channel and multi-group inquiry were adopted,the evaluation of different people on the safety risk of intersection was synthesized,and the characteristic indexes were quantified.In order to avoid the influence of subjective factors on the weight of feature index,the entropy weight technique for order preference by similarity to an ideal solution(TOPSIS)method was used to determine the weight of feature index,so that the determination of weight can get rid of subjective interference and become more accurate and scientific.Secondly,the weighted generalized Mahalanobis distance was compared with Euclidean distance,and the data were relatively fit,which verifies the feasibility of the model.Finally,combined with the engineering example,according to the index entropy weight,improvement measures for the safety risk of non-signalized intersection were put forward.The results show that in the safety risk indexes of unsignalized intersections on rural roads in mountainous areas,line shape,visual distance and slope occupy the top three,with weights of 0.123,0.119 and 0.114 respectively,which are similar to the main causes of traffic accident investigation.Since the implementation of improvement measures,no traffic accident has occurred temporarily.It provides a new idea for quantitatively evaluating the safety risk of unsignalized intersections on rural roads in mountainous areas.
作者
任一玮
刘星良
刘瑜
张子乾
REN Yi-wei;LIU Xing-liang;LIU Yu;ZHANG Zi-qian(School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China;Bozhou District Transportation Bureau of Zunyi City, Guizhou Province, Zunyi 563100, China)
出处
《科学技术与工程》
北大核心
2022年第17期7183-7190,共8页
Science Technology and Engineering
基金
重庆市教育委员会科学技术研究项目(KJQN202100718)
重庆交通大学科研启动经费项目(F1220017)。
