Study On The Influence Of Driver Characteristics On Traffic Flow At Signal Intersection

At present,traffic flow at signalized intersections(mainly related to the ratio of green letters at intersections)is mainly channelized according to relevant road specifications.Therefore,the method of canalization and grooming of traffic flow at road intersections is relatively simple,and it cannot satisfy different current road systems.Corresponding to the traffic channelization and grooming requirements under road conditions,the core of the impact factor in the road is the driver.Therefore,the study of the influence of driver characteristics on traffic flow at signalized intersections is particularly important.On this basis,the effects of different driver characteristics(this article is mainly divided into aggressive,stable,and aggressive drivers)on the traffic flow at signalized intersections are studied.Different driver personality types will have different lane changing rules and acceleration/deceleration rules when entering a signalized intersection.They want to change lanes to reach their destinations,but they may have different driver characteristics and green signal ratios at signalized intersections.It is difficult to complete the behavior of lane change,which may lead to drivers of different characteristics may choose to decelerate or stop on the guide lane line to wait for the appropriate lane change timing.Such traffic behavior will seriously affect the average density and average of the road traffic flow.Speed,etc.,thereby increasing the number of parking and average delays on the road,have a greater impact on traffic flow at signalized intersections.Based on the principle of cellular automata,this paper establishes the single-lane and three-lane cellular automaton models,and analyzes the influence of different ratios of driver's characteristics,green signal ratio,and traffic volume on the traffic flow at signalized intersections.The main article working as:First,through collecting data and reading a large number of documents,it is found that domestic and foreign scholars have less research on the influence of driver characteristics on traffic flow at signalized intersections,and even less on the impact of green letter ratio and traffic volume on traffic flow at signalized intersections..Therefore,based on the model of cellular automata,the paper simulates the traffic conditions of two types of roads and analyzes the influence of the proportion of drivers on the traffic flow at signalized intersections.Then it compares and analyzes the influence of the ratio of driver characteristics,green ratio and traffic volume on traffic flow at signalized intersections under different road conditions.The model experiment data was used to statistically analyze the parameters such as average density,average speed,number of stops,and average delay in the road.The appropriate range of green ratio,traffic volume and steering ratio under different road conditions was obtained to ease traffic at signalized intersections.Pressure to improve road traffic efficiency.This paper through the above research,as conclusions:Due to the influence of the combination of green ratio,traffic volume and driver characteristics,the driver's driving behavior of decelerating or staying in the lane and waiting to change lanes seriously impedes the safe driving of road vehicles,and the average density of traffic flow at signalized intersections.The speed of the draw and the average delay have a greater impact.In the case of different traffic volume,green signal ratio,and steering ratio road conditions,the influence of different driver characteristics on the intersection of traffic at signalized intersections is very different.By changing the green signal ratio at the signalized intersection,the canalization method can be used.The vehicles on the road run smoothly and the traffic flow is distributed evenly.The average delay,average density,average speed of the single-lane model,and the data of the three-lane model stoppages were fitted to the curves,and the ratios of the driver characteristics under the conditions of different traffic volume,green signal ratio,and steering ratio were analyzed.The linear relationship of the parameters,analysis of the relationship between the above parameters and the ratio of the driver's characteristics,which can adjust the green signal ratio and other signalized intersection parameters to reduce the pressure of road traffic,to provide a certain degree of traffic flow channelization for the relevant road management department at the signalized intersection reference value.