Case Study On Driver Identifying Traffic Potential Hazard Situation

Road traffic safety has been widely concerned by the community.In recent years,although casualties caused by the road traffic accidents are declining,it is still an important factor threatening people's lives and properties.According to the statistics,the traffic accidents related to the drivers account for 90 percent.Meanwhile,the drivers' hazard perception greatly affects their driving behaviors.Some studies have showed that,if the driver could perceive or identify the potential hazards surrounding traffic environment and take measures in advance 1 to 2 seconds,the occurrence possibilities of traffic accidents could be reduced greatly.Thus,this study carried out the theoretical and case study about the driver's identification mechanism and influencing factors of traffic potential hazard situation,in order to explore the methods of improving the driver 's ability of potential hazard situation identification and avoiding the potential hazard situation.The concepts of traffic potential hazard and potential hazard situation were clarified,and the driver's potential hazard identification mechanism model was established.The subjective and objective factors that influence driver's potential hazard situation were described,and the influence of the driving experience on identifying potential hazard situation was analyzed particularly.Meanwhile,it explained the accident occurrence process caused by traffic potential hazard combining with Catastrophe Theory.Research results show that,the process of driver's identification of potential hazard situation can be regarded as three stages,including potential hazard information perception,information process and responsing operation.The objective factors mainly affect information perception stage,while the subjective factors can affect all of three stages at the same time.Different driving experience between young and old drivers mainly caused the difference of driver's visual search pattern and information template database.The traffic situations including potential hazard were divided into five categories,in terms of the causes of potential hazard.Moreover,a large number of traffic accidents data was collected to screen out 18 typical hazard scenes to establish potential hazard scenes database.The classification method based on causes of potential hazards could avoid the problem that different scenes had similar potential hazard.The occurrence process of each type traffic accident cases was reconstructed by 3ds Max.The cause of potential hazard situation in each case was analyzed by FTA method.The analysis results show that,“lack of driving experience” and “weakness of safety consciousness” are the main and controllable reasons leading to potential hazard situation.Meanwhile,observing the surrounding traffic environment in driver's perspective when they were staying in the potential hazard situation,and the methods to identify potential hazards and potential hazard situation were proposed at the same time.A learning and testing platform for improving the drivers' ability of identifying the potential hazard situation was programmed by HBuilder and Sojump,respectively.The learning platform is as a type of Web,which can be logged in by PC and Mobile browser,and it is convenient to promote platform.The findings in this study have some theoretical value for understanding the driver's identification mechanism and the influencing factors of traffic potential hazard situation.Meanwhile,it also has some theoretical and practical value for improving drivers' ability of identifying the potential hazard situation,promoting the potential hazard learning and training platform,and reducing the traffic accidents.