Study on traffic risk field identification of expressway tunnel exit area
To analyze the driving safety rules of vehicles in the exit area of an expressway tunnel and quantitatively identify the risk level,this paper refers to the field theory research in relevant fields and combines the traffic characteristics elements,proposes the traffic risk field theory,and considers the risk characteristics of the exit area of expressway tunnel from the perspective of man-vehicle-environment.Firstly,the tunnel exit area is divided into tunnel exit approach sections,tunnel exit sections,and tunnel exit transition sections according to the difference in driver's pupil changes.Secondly,referring to the relevant theories of the environmental risk field and field theory,the traffic risk field is subdivided into a point effect field,line effect field,and area effect field according to the action mode of different factors,and a comprehensive risk effect field model is established.Finally,through the field survey,the relevant traffic information data of people,vehicles,and environment in the exit areas of different expressway tunnels in Yunnan Province are obtained,and the risk field of the exit area of expressway tunnels is obtained after being substituted into the model.The results show that the driving risk field strength at the approach section of the tunnel exit is large,but the influence range is small;The risk field strength at the exit ofthe tunnel is characterized by the change from narrow to wide;The risk level of the 100 m section before the exit transition section is the highest,and the speed of the 100 m section after the transition section is gradually stable,and the risk level is low.Through the application of traffic risk field theory,it can be seen that the traffic risk field strength model can effectively evaluate the traffic risk distribution under different road environments,and is more spatiotemporal than the traditional risk identification method.It can accurately find the risk strength points in the traffic environment,and make targeted adjustments to lay the foundation for future road risk prevention and control.
safety engineeringtraffic safetyrisk field modeltraffic risk fieldrisk identification
NETL
NSTL
万方数据
维普
