Intelligent Connected Vehicle M Odeling And Benefit Evaluation Of M Ixed Traffic Flow

With the increasing of the ownership and use intensity of motor vehicles,the traffic congestion is getting worse.Thus,the intelligent connected vehicle was born without any foreboding.Compared with the conventional manual driving mode,the intelligent connected vehicle brings more stable driving speed and smaller headway,which is of great significance to improve the efficiency of urban traffic and relieve the da ily traffic pressure.The research idea of the whole paper can be divided into four modules: traffic modeling,path planning,simulation experiments and cost-benefit analysis.The specific research contents and achievements can be summarized as follows:1)First of all,the theoretical and technical basis and relevant behavior characteristics related to the intelligent connected vehicle traffic flow are sorted out.Based on that,the simulation logic framework of the intelligent connected vehicle traffic flow is put forward in depth.Based on the micro driving characteristics,the simulation logic framework is built at the macro level,and the scene of the network connected collaborative driving vehicle with variable safe distance model is built through Prescan.The simulation module of the intelligent connected vehicle queue driving based on Vissim is developed by using Python for add-on functions ’development brought by the mixed traffic flow.2)Secondly,from the micro point of view,a variable safe dista nce model of intelligent connected vehicle is constructed,and Prescan is used in combination with related algorithms.The software is based on the vehicle dynamics model to simulate the scene of the Intelligent connected vehicle cooperative driving,so as to get the data of the speed,acceleration,displacement and the change curve of the vehicle spacing,and show the cooperative characteristics through the data.At the same time,it also effectively verifies the scientific construction of the variable safe distance model of intelligent connected vehicle driving.3)At last,the traffic simulation software VISSIM is redeveloped from the micro level and combined with its COM interface technology to build a joint simulation program integrating Python algorithm and VISSIM to complete the scene simulation of the function of the intelligent connected vehicle.The relevant research data of the paper on the queue driving and mixed traffic flow scenarios confirm that,with the gradual increase of the market penetration of the intelligent connected vehicle,the average travel time of the road mixed traffic flow vehicles will appear a significant downward trend,but the speed and the road capacity will show an upward trend to a certain extent.Combined with the sensitivity analysis data,it can be found that,the intelligent connected vehicle will have a relatively positive impact on the mixed traffic flow in the peak period and the benefit is higher than that in flat hump period.