Modelling And Simulation Of Intersection Group Speed Guidance Based On Connected Vehicle

Rapid growth of vehicles leads to traffic congestion,which gradually brings traffic safety and pollution problem.As major collector-distributor point,intersection signal control strategy and vehicle queue are key causes of traffic congestion.Intersection group as manage and control object has become research consensus of easing congestion.Intersection group speed guidance with connected vehicle technology has become one of effective methods to solve traffic congestion.This paper designed speed guidance algorithm for linear intersection group,forming "dynamic green wave" solve traffic congestion.Firstly,this paper summarizes research status of dynamic speed control,dynamic speed guidance,connected vehicle environment characteristic test,intersection group speed guidance and application.The research content and technical approach are determined.Secondly,by introducing structure,technology and mechanism of connected vehicle system,comparative analyses traditional and connected vehicle speed guidance methods.The mechanism and basic methods of connected vehicle speed guidance are expounded.Thirdly,after explaining concept,characteristics and definition method of intersection group,this paper designs intersection group single,collaborative speed guidance algorithm based on connected vehicle environment which including strategy,algorithm and principle.Fourthly,considering influence factors of connected vehicle speed guidance,using EstiNet simulation software build speed guidance test scene.By quadratic programming development of Car Agent,Signal Agent and Road Side Unit Agent,this paper realizes proposed algorithms.Finally,according to proposed evaluation indexes system of connected vehicle speed guidance,from operation efficiency,road safety and pollution emission aspects,effect of collaborative speed guidance algorithm and different of two speed guidance algorithms are quantitative analyzed.This paper studies sensitivity of the algorithm based on connected vehicle environment influencing factors.At the same time,traffic flow characteristics are analyzed using the vehicle speed and headway.Simulation results show after implementing intersection group speed guidance,Average Speed and Travel Time Reliability raise 13.36%and 76.61%,Idling Period,Delay Time,Accessibility Barrier,Emission and Velocity Continuity decrease 51.02%,65.79%,86.32%,7.07%and 23.89%.Compared with single algorithm,collaborative reduce 19.64%redundant push information,and has a better ameliorative effect on evaluation indexes.Then,the sensitivity of influencing factors is studied.The increase of Penetration Rate and Compliance Rate,the reduction of Communication Distance make the optimization degree of speed guidance strategy is more apparent.Moreover,this paper also focuses on the research of traffic flow characteristic,for non-speed guidance scene and speed guidance scene,vehicle speed and headway can respectively use normal distribution and shift the negative exponential distribution to fit.Guided vehicles’ speed increased by 51.81%and headway shortened by 24.67%when through intersection,shows the proposed algorithm alleviate intersection congestion and improve traffic efficiency.