Construction And Simulation Of Mixed Traffic Model With Automatic-manual Vehicles

With the continuous development of the national economy and technology in China,the transmissions of vehicle have shifted from manual driving to automatic driving,which is more and more prominent with the traditional urban transportation infrastructure.This contradiction will increase the burden on China 's urban transportation infrastructure as the number of autonomous vehicles increases,and it is expected that the severity of road congestion in first-tier cities will increase in a certain period of future time.With its unique advantages,traffic micro-simulation model has become one of the effective tools used by scholars to solve traffic congestion problems,but traditional micro-simulation models are more inclined to focus on traditional manual driving vehicles as the main research object.Therefore,this article starts from the mixed situation of automatic and manual driving vehicles,based on multi-agent(MAS)and cellular automata theory(CA).A simulation model of mixed traffic flow for automatic-manual driving vehicles in China's current and future advanced transportation systems.The main contents of the thesis are as follows: Analyzes the current research status of traditional traffic flow and automatic-manual driving mixed traffic flow,expounds the significant contributions made by scholars in these aspects,and summarizes the shortcomings of their research.Thus,the model of mixed traffic flow of automatic-manual vehicles studied in this paper and the required theoretical basis are introduced.A basic mixed traffic flow simulation model for autonomous and manual driving vehicles is built by combining cellular automata and multi-agents and introducing different follow-up rules.In addition,a signalized intersection automatic-manual driving vehicle and a pedestrian interference signalized intersection automatic-manual driving vehicle simulation model are constructed with the expansion of roads and introduction of pedestrian model established by ant cellular automata.The influences of mixed traffic ratio,reaction time,lane changing probability,green letter ratio,and pedestrian arrival rate on the mixed traffic flow of automatic-manual driving vehicles were analyzed.By analyzing the parameters such as average speed,basic traffic theory map,and average time delay through Origin software,the following conclusions were obtained:Due to the influence of driver's psychology and signal lights,traditional manual driving vehicles can increase the traffic flow during free flow,but when the traffic environment is poor,the traffic situation will be aggravated.With the penetration of autonomous vehicles,problems such as traffic congestion will be significantly alleviated,and traffic efficiency will be improved.By changing parameters such as reaction time,lane changing probability,and green signal ratio of autonomous vehicles,traffic flow can be improved and traffic flow can be evenly distributed.The response time of autonomous vehicles has a significant impact on the improvement of traffic flow,which can be increased up to two times;when the pedestrian arrival rate is more than 0.6,the traffic flow will be seriously affected,measures should be taken to separate them.