[1]张可欣、岳小泉、孙晓楠、方敬升、黄海南、游宇光.风雨耦合作用下的城市道路行车风险评估[J].福建工程学院学报,2021,19(01):75-80.[doi:10.3969/j.issn.1672-4348.2021.01.013]
 ZHANG Kexin,YUE Xiaoquan,SUN Xiaonan,et al.Assessment of traffic risk on urban roads under the coupling effect of wind and rain[J].Journal of FuJian University of Technology,2021,19(01):75-80.[doi:10.3969/j.issn.1672-4348.2021.01.013]
点击复制

风雨耦合作用下的城市道路行车风险评估()
分享到:

《福建工程学院学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第19卷
期数:
2021年01期
页码:
75-80
栏目:
出版日期:
2021-02-25

文章信息/Info

Title:
Assessment of traffic risk on urban roads under the coupling effect of wind and rain
作者:
张可欣、岳小泉、孙晓楠、方敬升、黄海南、游宇光
福建农林大学
Author(s):
ZHANG Kexin YUE Xiaoquan SUN Xiaonan FANG Jingsheng HUANG Hainan YOU Yuguang
College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University
关键词:
交通安全风雨耦合城市道路风险评估模糊综合评价层次分析法
Keywords:
traffic safety coupling of wind and rain urban roads risk assessment fuzzy comprehensive evaluation analytic hierarchy process
分类号:
U491.31
DOI:
10.3969/j.issn.1672-4348.2021.01.013
文献标志码:
A
摘要:
从道路条件、天气条件和设施条件3个方面选取18个影响因素,基于DAMATEL方法,建立直接影响矩阵并规范化,获得综合影响矩阵,得到三层次风雨耦合作用下的城市道路风险评估体系,结合模糊综合评价以及层次分析法确定各级评价指标的权重,建立了一个相对完整的评价体系,并将其应用于当地的风险评估中,为当地的交通管理控制以及降低行车风险提供了一定的理论参考。
Abstract:
18 influencing factors were selected from the 3 aspects of road conditions, weather conditions and facility conditions. Based on the DAMATEL method, the direct influence matrix was established and standardized, and the comprehensive influence matrix was obtained. The urban road risk assessment system under the coupling effect of three levels of wind and rain was obtained. Combined with fuzzy comprehensive evaluation and analytic hierarchy process, the weight of each level of evaluation index was determined, and a relatively complete evaluation system was established, which was then applied to the local road risk assessment, and provided some theoretical reference for the management and control of local traffic and the reduction of traffic risks.

参考文献/References:

[1] 李佳妮. 道路交通路形与气象动态耦合风险评估方法研究[D]. 北京:中国地质大学(北京), 2020.[2] 陆键. 城市交通安全风险管理概论[J]. 交通与港航, 2016, 3(3):12-15, 3.[3] KIMW O, KIM C, YOUN D, et al. Development of maritime traffic risk assessment system based on ECDIS[J]. Journal of Fishries and Marine Sciences Education, 2017, 29(6):1670-1675. [4] 冯培. 不利天气条件下行车安全耦合风险评估与对策研究[D]. 北京:中国人民公安大学, 2018.[5] ZHENG X, ZHANG D, GAO H, et al. A novel framework for road traffic risk assessment with HMM-based prediction model[J]. Sensors, 2018, 18(12):E4313[6] 魏科. 城市道路交通安全风险监测方法研究[D]. 北京:中国人民公安大学, 2020.[7] 邱磊, 叱干都, 邓志刚, 等. 基于影响系数的高速公路行车风险评估模型[J]. 公路交通科技, 2020, 37(3):123-129.[8] 王强. 交通运输系统安全风险管理探析[J]. 决策探索(中), 2020(6):15.[9] 吴兵, 翟犇, 卢建涛, 等. 基于安全风险的恶劣天气下高速公路建议车速确定方法[J]. 同济大学学报(自然科学版), 2020, 48(11):1570-1578.[10] 刘福泽, 李娟, 范博松, 等. 城市交通系统安全运营状态风险评估:以北京市轨道交通为例[J]. 管理评论, 2020, 32(7):217-225.[11] 陈凤. 闽北高速公路交通安全风险评估[D]. 福州:福建农林大学, 2015.[12] 赵利苹. 风雨耦合作用下高速公路交通安全与控制策略研究[D]. 西安:长安大学, 2013.[13] 王丰元, 樊杰玉, 王晓龙. 道路结构参数对交通事故的影响分析[J]. 中外公路, 2015, 35(1):319-323.

相似文献/References:

[1]梁钰,黄德娟.普通公路交通标志设置效用调查研究[J].福建工程学院学报,2015,13(06):546.[doi:10.3969/j.issn.1672-4348.2015.06.007]
 Liang Yu,Huang Dejuan.Research on the effectiveness of road traffic signs[J].Journal of FuJian University of Technology,2015,13(01):546.[doi:10.3969/j.issn.1672-4348.2015.06.007]

更新日期/Last Update: 2021-02-25