An Early warning Model for Rear end Accident Occurring in Highway Tunnel Group

Abstract:

Considering the close relationship between rearend accident and the vehicle’s travelling state in highway tunnel group,this paper takes braking distance,travelling speed and the type of vehicle as characteristic parameters for forewarning the rearend accidents occurring in highway tunnel group.Then,on the basis of artificial immune mechanism,an earlywarning model is proposed to identify and determine the tendency caused by vehicle’s abnormal state,and some important earlywarning information is given as the levels of accidents.Finally,Xihan highway tunnel group is studied as a simulation example to verify the accuracy and utility of the earlywarning model.It is expected that the findings from the study can provide a significant theoretical basis for the safety operation management in highway tunnel group.

Key words:highway tunnel group; earlywarning of rearend accident; artificial immune; improved negative algorithm