Research On Model Of Lane Change Decision And Speed Guidance Of Highway Facing The Moving Bottleneck Under Intelligent And Connected Environment

In recent years,with the rapid development of economy and society,more and more expressways in our country have experienced large-scale traffic congestion,which greatly reduces the efficiency of expressways and brings hidden dangers to traffic safety.Driven by electronic technology and wireless communication technology,intelligent networked vehicle technology emerged at the historic moment.It is based on vehicle-to-vehicle and vehicle-to-road communication technology to realize the accurate and rapid transmission of information within the system and give new connotations to vehicle speed guidance.The purpose of this paper is to explore the expressway’s lane-changing decision-making and vehicle speed coordinated guidance model facing the moving bottleneck in the intelligent network environment,and optimize and control the moving bottleneck to improve the operating efficiency of the expressway.First of all,this paper combs the research results of the existing literature,mainly from four aspects: the characteristics and modeling of the traffic flow of the moving bottleneck section,the research on the speed management of the expressway,the decision-making research on the expressway changing lanes,and the development status of intelligent networked vehicle technology.And expounds the research goal and research content of this article,and puts forward the technical route of this article.Secondly,this paper analyzes the shortcomings of the existing moving bottleneck theory,and expands the bottleneck section theory,mainly including the analysis of the occurrence conditions of the bottleneck section and the analysis of the impact of the bottleneck section on the operation of the expressway;it also proposes the use of oblique line diagrams to identify moving bottleneck,and the method is verified by Vissim simulation software;the influence of the moving bottleneck of the expressway on the traffic flow state is analyzed by setting the mixing ratio of different large vehicles,the number of lanes,the flow of a single lane and the turning radius.Next,this article qualitatively analyzes the influencing factors of the vehicle’s lane changing decision when facing the bottleneck point and bottleneck section,introduces the basic structure of the NGSIM data set,and selects the US-101 and I-80 data sets as the lane changing decision model Data source: Two samples of data were extracted and preprocessed according to requirements,and Spearman correlation coefficient analysis method is used to analyze the extracted data,and significant influencing factors are selected.Then,based on the vehicle-road collaboration technology to obtain the vehicle running status and road traffic status,the vehicle lane change decision-making research is carried out,and a krill swarm algorithm improved by the adaptive Levi flight and jump technology is proposed.The improved krill swarm algorithm optimizes the ANFIS model,and establishes a new IKHA-ANFIS-based lane change decision model for moving bottlenecks,and trains and tests the bottleneck point and the bottleneck segment;and analyzes the degree of influence of various factors on the decision to change lanes when the vehicle is facing a moving bottleneck.Finally,based on the vehicle-road collaboration technology to obtain vehicle operating status and road facility status,aiming at the mixed traffic flow facing the mobile bottleneck on the expressway,a safe,efficient and minimal fuel consumption real-time coordinated guidance model for vehicle speed is proposed.Among them,the AVs(connected vehicles)in the fleet are controlled by the MPC algorithm,and the HVs(traditional vehicles)are guided by OVM,and 15 numerical simulations of the terminal cost and operating cost are established for comparison and analysis.The superiority of the model is verified,and the best way to divide the fleet behind the bottleneck vehicle and the best way to cooperate with AVs and HVs in the fleet is also revealed.The research results of this paper have important theoretical supplementary significance to the dynamic control technology of expressway,and have important application value to improve the operating efficiency,comfort and safety of expressway.