Traffic Flow Simulation And Characteristic Analysis Of Urban Expressway Merging Area Considering The Heterogeneity Of Driving Behavior

With the rapid development of my country’s transportation system and automobile industry,the number of residents’ car ownership has continued to increase,and the number of motor vehicle drivers across the country has repeatedly hit new highs.Due to the differences of drivers’ age,gender,personality,driving behavior habits and driving ability,mixed driving behavior has a crucial impact on urban traffic operation efficiency,urban road safety and urban traffic simulation modeling.Therefore,it is necessary to study the change law of traffic flow in the merging area of urban expressways under the mixed driving scenarios of various driving behaviors.Combined with the actual trajectory data of the vehicle,the key parameters in the vehicle driving process are extracted,and based on this,a microscopic traffic flow simulation model of the merging area of urban expressways is established.The data is sample data,the traffic characteristic parameters of vehicle driving behavior are quantitatively calculated,and the cluster analysis algorithm is used to perform cluster analysis on the characteristic parameters of driving behavior,and the values of various driving behavior parameters are obtained.Cell attributes and evolution rules were used to establish a traffic flow simulation model in the merging area of urban expressways that considered the heterogeneity of driving behavior.Simulation to verify the accuracy and stability of the heterogeneous driving behavior simulation model.By analyzing the traffic characteristics of the merging area under 36 driving behavior scenarios,the potential relationship between the driving behavior and the traffic characteristics of the merging area was explored.Comparing the vehicle speed,road flow and road density in the expressway merging area under the conditions of homogeneous driving behavior and heterogeneous driving behavior The model can better reproduce the three states of road free flow,synchronous flow,and blocked flow,and is closer to the actual operating state of the vehicle in the expressway merging area.Comparing the average vehicle speed,average road flow,and road density in the merging area of expressways under 36 driving behavior scenarios,the results show that the heterogeneity of driving behavior has a greater impact on road traffic operation,and different driving conditions should be considered when evaluating road operating conditions.The influence of behavior on road operation state;under safe driving conditions,with the increase of the proportion of reckless driving behavior,the space occupancy rate corresponding to the inflection point of flow and speed in the merging area shows a small increase trend,and in the case of reckless driving behaviors Under the simulation conditions of 20%,the traffic flow in the road merging area increases by 20%,and the driving speed increases by 16.7%.Therefore,the actual operation training of lane change and vehicle speed control should be strengthened in the driver training process;with the continuous increase of vehicles in the merging area,the merging area In a space occupancy interval,the road traffic state is more complex at this time,and the road density will increase instantaneously,which is very likely to cause traffic congestion and form a bottleneck.Therefore,a road space occupancy rate collection facility should be installed upstream of the expressway merging area,and the merging should be strengthened.Monitor and capture the intensity of illegal traffic behaviors in the area,and formulate corresponding policies to control the flow of vehicles entering the expressway merging area during peak periods.