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Position: Home > Articles > Research on Comprehensive Risk of Driving Behavior of Urban Tunnel Forest Engineering 2019 (6) 67-71

城市隧道路段驾驶行为综合风险研究

作  者：
方松;马健霄
单  位：
南京林业大学汽车与交通工程学院
关键词：
交通安全;城市隧道;驾驶行为;综合风险;风险度函数
摘  要：
城市隧道出入口路段照度差异大,内部环境单调,对驾驶行为有显著影响。本文拟对城市隧道路段的驾驶行为综合风险影响因素开展研究,以期降低驾驶行为风险,提高城市隧道交通安全。城市隧道路段驾驶行为综合风险主要来自主客观两个方面,主观风险指驾驶人自身条件如驾驶人心理和生理负荷、驾驶人风险认知水平,客观风险指道路环境条件如隧道照明条件、道路线形和交通流量。本文引入风险分析与决策理论,对构成驾驶行为决策风险的各个影响因素进行风险度函数建模,探讨城市隧道路段驾驶行为综合风险量化研究方法。以某城市3条城市隧道基础数据为例,利用文中所建模型计算其驾驶行为综合风险度值,结果表明驾驶行为综合风险度值较高的隧道B年度统计事故数明显高于隧道A与隧道C,验证了所建模型的准确性与适用性。
译  名：
Research on Comprehensive Risk of Driving Behavior of Urban Tunnel
作  者：
FANG Song;MA Jianxiao;College of Automobile and Traffic Engineering,Nanjing Forestry University;Nanjing Institute of Railway Technology;
关键词：
Traffic safety;;city tunnels;;driving behavior;;comprehensive risk;;risk function
摘  要：
The illumination of the entrance and exit sections of urban tunnels varies greatly,and the internal environment is monotonous,which has a significant impact on driving behavior. This paper intends to study the comprehensive risk factors of the driving behavior of the urban tunnel section in order to reduce the risk of driving behavior and improve the safety of urban tunnel traffic. The comprehensive risk of driving behavior in the urban tunnel section mainly comes from two aspects. The subjective risk refers to the drive's own conditions such as the psychological load of the driver's life,the driver's risk cognition level,and the objective risk refers to road environmental conditions such as tunnel lighting conditions,road route shape,and traffic flow. In this paper,risk analysis and decision theory are introduced to model the risk degree function of the factors that make up the risk of driving behavior decision,and to explore the quantitative research method of comprehensive risk of driving behavior in urban tunnel section. Taking the basic data of three urban tunnels in a city as an example,the model is used to calculate the comprehensive risk value of driving behavior. The results show that the annual statistical accident number of tunnel B with higher comprehensive risk value of driving behavior is significantly higher than that of tunnel A and tunnel C. The accuracy and applicability of the model are verified.

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