Research On Traffic Efficiency Of Mixed Autonomous Vehicle Flow

Benefiting from the wide application and promotion of artificial intelligence technology and automation technology,autonomous driving technology is the core direction of research and development in academia and the automotive industry.Relevant studies have shown that autonomous driving can improve the safety,comfort and higher level of demand of vehicle driving in terms of improving transportation.In addition,it can effectively improve traffic congestion,ensure road traffic safety and provide scientific guidance for urban planning and construction.Reproducing the characteristics and operation rules of the actual transportation system through traffic simulation technology,and managing,optimizing and controlling the transportation system is an effective method to evaluate the application effect of transportation facilities,and it is also an important experimental means and tool to solve real traffic problems.There is still a long development cycle before the full mass production of automatic driving,and the basic theory of automatic cruise driving vehicles,vehicle driving behavior and parameter simulation as the basis for simulation,which can effectively simulate the performance of autonomous vehicles in different road conditions and different scenarios,which is of great significance for promoting traffic intelligence.This paper summarizes the current research status of autonomous driving development,hybrid autonomous driving traffic flow and expressway traffic flow simulation at home and abroad,and discusses the current research development trend in detail.Based on the autonomous driving technology architecture,the differences between different driving levels and the interaction between each technical function module are clarified.The structure of the micro traffic simulation system is summarized,and the driving behavior mode in VISSIM is analyzed from the horizontal and vertical perspectives,and the current mainstream micro traffic simulation software is compared and evaluated horizontally.The structural characteristics of the expressway interweaving zone were analyzed,the VISSIM micro traffic simulation software was selected,the driving logic of the autonomous vehicle defined in the European Horizon Co Existing project and the data measured on the test site were applied to the modeling and research of the interwoven area of Huashan Road-Maoming Road Expressway of the Yan’an Elevated North Line in Shanghai,and the traffic accident scene was set up to establish a micro traffic flow simulation model.By entering autonomous vehicles with different penetration rates,the impact of autonomous vehicles mixed into traditional traffic flows is analyzed,the connection area between the upstream interweaving area and the downstream diversion area is evaluated in the road section,the statistical traffic capacity,speed and speed standard deviation are used as comprehensive evaluation benefit indicators,and the fzp file is output to plot the scatter plot of speed change trend under different traffic mixing rates,and finally Delas,TTC and PET indexes are analyzed after SSAM processing.Under the conditions of penetration rate with different traffic densities and equal differences,there are differences in vehicle behavior of mixed autonomous traffic flows compared with traditional traffic flows.Speed,traffic capacity,speed standard deviation,etc.will show different laws with the change of scene and scenario,and the overall traffic benefit will show a trend of first decreasing and then improving with the increase of proportion.