Modeling And Analysis Of Traffic Flow In Incomplete Connected Vehicles Environment

In recent years,traffic problems are increasing with the increasing number of motor vehicles.The integration of transportation system and Internet of Things greatly promotes the development of intelligent transportation system,which brings new solutions and ways to solve the current traffic problems.At present,our country is in the early stages of vehicle-to-vehicles environment research,in order to realize the vehicle in the full sense of the car under the networking environment is needed to run,but as technology constantly updated development,there will be a part of connected vehicles to join the common vehicle process firstly,how to made vehicles with ordinary form a new type of mixed traffic flow modeling,will be one of the important problems in the research of the next few years.Based on this,the modeling and simulation of hybrid traffic flow consisting of networked vehicles and ordinary vehicles under incomplete vehicle networking environment is studied in this paper.The specific work is as follows:(1)A vehicle following-up model under incomplete connected of vehicles is presented.Firstly,the real-time acquired vehicle information of the network in the road section is used to estimate and restore the information of other vehicles in the entire road network,including the parameter information such as the number,speed and position of ordinary vehicles,so as to provide data support for the subsequent research on vehicle guidance strategy.On this basis,the attention distance parameter in the new mixed traffic flow environment is proposed.By analyzing the influence of all vehicles within the attention distance on the following vehicles,a new tracking model of mixed traffic flow is designed to study the influence of the environment on the following vehicles more comprehensively.(2)A hybrid traffic flow lane change model based on cellular automata(CA)is proposed for the incomplete vehicle networking environment.Aiming at the driving characteristics of vehicles with different attributes of networked vehicles and ordinary vehicles,a new lane change speed constraint index of networked vehicles is proposed,and lane change rules are improved by utilizing the advantages of networked vehicles in real-time perception and information interaction of traffic information.By comparing with other cellular automata lane changing models,the effectiveness of the optimized model is verified.(3)The guidance strategy of hybrid traffic flow vehicle composed of network vehicle and common vehicle is proposed.At first,different speed guiding scenarios are analyzed,the speed optimization of networked vehicles and the motion law of ordinary vehicles are considered comprehensively,and the vehicle guiding strategy of mixed traffic flow is established with the goal of minimizing the average delay of vehicles,and the simulation is verified.