Research On Phase Induction Transition Method Based On Dynamic Yellow Light Dilemma Zone

The yellow light dilemma is an important cause of traffic accidents within the scope of signalized intersections,which can be divided into two categories according to the causes:Type I dilemma caused by physical principles and Type II dilemma caused by human factors.Therefore,this article takes the signal control safety of traffic signal yellow light dilemma as the research goal,and based on the theory of yellow light dilemma,analyzes the causes of two types of yellow light dilemma and the dynamic changes of speed environment on the dilemma zone.Combining global detection technology and phase cutoff characteristics under signal induction control mode,an applicable cutoff control method is designed to improve signal cutoff safety.When the yellow light is on,the first-of vehicles and last-of vehicles on the straight lane are the most likely to encounter the yellow light dilemma.This article utilizes the advantage of obtaining complete vehicle trajectory data under simulation environment conditions to design intersections and collect vehicle spatiotemporal trajectory data and signal light logs in the Vissim simulation environment.Based on simulation data,analyze the descriptive statistical values and fitted distributions of the first-of vehicles and last-of vehicles driving parameters when the yellow light is on.The K-S statistical test results indicate that the driving parameters of the first-of vehicles and last-of vehicles are not simply linear,and the best fit distribution varies.This indicates that the driving behavior taken by the driver when the yellow light is on is random,and the location of the yellow light dilemma zone will move with the arrival of traffic flow changes.In addition,by organizing the existing results on the dynamic yellow light dilemma zone model,analyze the dynamic boundaries of the yellow light dilemma zone.To eliminate the risk of yellow light dilemma,traffic engineers generally set reasonable control parameters(yellow light duration)to eliminate Type I dilemma,but this method cannot eliminate Type II dilemma.In addition,when the actual operating status of vehicles and the road traffic environment change,the original signal control measures to ensure vehicle safety may fail,leading to the actual existence of Type I difficulties at intersections.To avoid vehicles falling into the yellow light dilemma zone when the phase green light switches to yellow light,induction control is used to avoid the yellow light dilemma problem due to its advantage of dynamically adjusting the signal scheme with the arrival of traffic flow characteristics.However,due to the limitations of detection technology,the risk avoidance measures for yellow light dilemma based on cross-sectional fixed-point detection in induction control are generally based on the theory that the boundary of the yellow light dilemma zone remains fixed.This leads to traditional induction control strategies being limited by fixed detector positions,which may not match the actual dynamic yellow light dilemma zone at the intersection.It is still possible to switch the phase green light to yellow light in the presence of vehicles in the yellow light dilemma zone.With the development of detection technology,advanced detectors can obtain real-time trajectory data of vehicles,analyze vehicle motion parameters and position information,and determine whether the vehicle is in the yellow light dilemma zone in real time.Based on this,this article proposes a phase sensing cutoff method based on the dynamic yellow light dilemma zone from the perspective of traffic safety,and combines the advantages of advanced detectors to dynamically change the end time of the green light,Choose the best timing for phase safety cutoff to switch between green and yellow lights to improve phase cutoff safety.Finally,analyzing the possible yellow light dilemma that vehicles may encounter under different environmental conditions,the results show that downhill vehicles have a higher risk of encountering yellow light dilemma compared to uphill and flat vehicles under adverse weather and road conditions.For vehicles with a speed of 60km/h,the signal cutoff time can be adjusted briefly(the adjustment time for flat intersection is 1-4s)to avoid the problem of yellow light dilemma under adverse weather and road conditions.Build a simulation environment based on the Vissim simulation platform,and use Python programming language for secondary development in conjunction with COM interface to achieve a phase sensing cutoff method based on dynamic yellow light dilemma zone.Through comparative analysis of simulation experiments,this method can reduce the probability of vehicles falling into the yellow light dilemma zone when the yellow light is on,and protect vehicles such as speeding from the impact of the yellow light dilemma zone.