Analyzing traffic crash risk of freeway characteristics based on micro-kinetic parameters
To analyze the risk-causing mechanism of different freeway characteristics,this paper introduced the microscopic kinetic parameters of the vehicle under normal driving conditions.The standard ordered Logit model and the binary Logit model were conducted to explore the relationship between the microscopic kinetic parameters and road characteristics(e.g.,diversion areas,merging areas,and curve segments);and the relationship between the microscopic kinetic parameters and crash risk(e.g.rear-end,fixed-object hitting,and overturning).Then,taking the micro-kinetic parameters as the link,the effects of different road characteristics on crash risk is independently quantified.The results indicate that the longitudinal kinetic factor can effectively map the level of rear-end risk,and the difference in fluctuations of can be attributed to the diversity of road characteristics.That is,the longitudinal kinetic factor can be used as an intermediate variable of risk transmission to realize the determination of the level of crash risk on freeways,and at the same time,provide help for the identification of road dangerous defects.Compared with the straight-line section without a diversion area,the complex feature of the"diversion area"has the greatest effect on the added risk of rear-end crashes,followed by"composite alignment",and the"horizontal curve"is the weakest.The greater the length of the transition curve of the horizontal curve section,the higher the risk of rear-end crashes.In addition,the paper also finds a significant risk compensation phenomenon,suggesting that a more relaxed driving environment may cause drivers to relax their vigilance and increase the risk of rear-end.The conclusions can provide theoretical support and experience for the prevention of crashes and the formulation of rescue measures for a specific type of crash.
万方数据
维普
