| At the signalized intersection,when the driver is about to end the green light signal and the yellow light signal is on,they often experience the hesitation of choosing to stop or pass.This area is commonly known as the "dilemma zone." The existence of the dilemma zone greatly increases the probability of traffic conflicts at signalized intersections and reduces the level of traffic safety.In response to this phenomenon,domestic and foreign scholars have conducted a lot of research from the distribution of the Type Ⅰ and the Type Ⅱ dilemma zone,the driver’s reaction when the yellow light is on,the vehicle trajectory prediction and the risk assessment of the dilemma zone,and have successively proposed A series of risk avoidance methods for dilemma zone,but their effects often have many limitations.With the deepening of research,the fundamental reason is to ignore the dynamic variability of the dilemma zone,and not fully consider the impact of factors including individual random differences of drivers,intersection environment and traffic signal control.Especially nowadays,signal countdown devices are widely installed in urban road signal intersections in our country,which will inevitably affect the driving behavior of the original driver when the yellow light is turned on,thus causing the boundary of the dilemma zone to change.Therefore,the thesis starts with the individual differences of drivers and the countdown of the green light signal,studies the dynamic variability of the dilemma zone,and proposes a dilemma zone protection strategy for the dilemma zone,aiming to improve the traffic safety level of the intersection.First,in order to study the impact of individual driver differences and the green light signal countdown on the boundary of the dilemma zone,by selecting the observation point to shoot video,the vehicle trajectory status of the first stop and the last driving in the green light countdown may be caught in the dilemma zone.And use the concept of driving tendency to characterize the individual differences between different drivers.Through the design of a situational questionnaire,the survey collected the results of stop selections for drivers with different driving tendencies at different locations at the entrance of the intersection,at different countdown times,and at different driving speeds.According to the definition of the Type Ⅱ dilemma zone,The spatial and temporal distribution characteristics of the boundary of the dynamic dilemma zone are described.Secondly,based on the questionnaire data,the vehicle parking selection behavior is constructed as a binary logistic selection behavior.Driver’s driving tendency,the speed of the vehicle,the distance to the parking line and the countdown time of the green light all significantly affect the driver’s parking selection results.Based on this model,the parking probability model is derived,and the boundary model of the dynamic dilemma zone is constructed.Overall,it can be seen that as the countdown time decreases,the TypeⅡ dilemma zone will shift closer to the parking line,and the Type Ⅱ dilemma zone of the three driving tendencies of aggressive,ordinary and conservative types is also In turn,get closer to the parking line.Finally,on the basis of the dynamic dilemma zone parking probability model,a dilemma zone protection strategy based on vehicle-road cooperative environment is proposed.The VISSIM simulation platform and VBA programming language are used to simulate the off-peak and peak periods of the vehicle-road collaborative environment,and the intersection of mixed driving with different proportions of drivers.Through information detection and parking probability prediction,we provide targeted guidance strategies for drivers with different driving tendencies including acceleration,deceleration,and uniform speed,and assist the driver with audio-visual information prompts,in order to reduce judgment hesitation and improve traffic safety. |