| At present,the traditional transportation system is gradually moving towards the intelligent transportation system.Intelligent assisted driving and autonomous driving vehicles will inevitably appear in the future transportation system.Therefore,it is urgent to discuss and study the traffic flow characteristics of intelligent assisted and autonomous vehicles under the intelligent transportation system,Safety,traffic efficiency and other issues.At present,most traffic flow simulation objects are still traditional vehicles,and the traffic flow characteristics of autonomous vehicles are studied based on traditional traffic flow models.In response to the above problems,this article models and simulates an important class of ACC/CACC vehicles participating in the traffic system under reasonable assumptions,and studies the changes and effects of ACC/CACC vehicles on the traffic flow in the intelligent transportation system.The main content of the research is as follows:1.Propose a scheme for guiding ACC vehicles at different speeds at signal traffic intersections under the Internet of Vehicles.Based on the improved intelligent driving model,the acceleration algorithm under different speed guidance schemes of ACC vehicles under the Internet of Vehicles is proposed,and it is applied to urban traffic light intersections.The results show that the ACC vehicle speed guidance scheme proposed in this article is superior to the ordinary intelligent driving model in terms of delay,speed,acceleration,fuel consumption,and gas emissions when passing through a traffic light intersection.2.Establish a single-lane manual driving-CACC self-driving vehicle mixed traffic flow numerical simulation model by fusing the CACC vehicle following model and the cellular automata model.The results show that as the proportion of CACC vehicles increases,local congestion in the traffic flow decreases,and the flow rate and average speed increase.Secondly,the effect of CACC vehicles on the manual driving vehicle in the mixed traffic flow on the characteristics of the mixed traffic flow is studied.It is found that when the traditional vehicle drivers have greater psychological concerns about CACC vehicles,the greater the increase in the safety distance of manually driven vehicles,resulting in a decrease in traffic flow,average speed,and cut-off density.This phenomenon is particularly significant in high-density areas.3.Establish a CACC vehicle two-lane traffic flow simulation model based on the new lane changing rules.The effective acceleration lane change(EALC)lane change rule is proposed to improve the F-STCA lane change rule,and its effectiveness is verified.Combine CACC vehicle evolution rules and EALC lane changing rules to establish a CACC vehicle two-lane model and perform simulations.The results show that the CACC two-lane simulation results are in line with the actual traffic phenomenon.The peak flow in the low-density area is 42.82% and 21.86% higher than the Na Sch and DD models,respectively,and the lane change rate is much lower than the Na Sch and DD models;high-density areas,flow and lane change.The rates are higher than the Na Sch and DD models.Through the research and improvement of the classic model,this paper establishes ACC/CACC vehicle traffic models in different scenarios and simulates and simulates the impact of ACC/CACC vehicles on traffic flow characteristics,which will improve the existing traffic flow theory and provide theoretical research and guidance for improving the existing traffic flow theory and the traffic flow participating in ACC/CACC vehicles under the intelligent transportation system in the future. |
