Research On Car Following And Lane Changing Model Based On The Information Of Multiple Cars

With the rapid development of Chinese economy,the number of motor vehicles is increasing day by day.As a result,urban traffic jims,traffic security problems and environmental pollution are increasingly severe.In recent years,the computer technology,network communication technology and data processing technology develop rapidly,therefore,the application of Internet of Vehicles makes vehicles obtain easily the information of around vehicles' speed,position,acceleration and the vehicle running state.They change perception model which apply to Internet of Vehicles,also for improving the efficiency of the traffic flow and enhance the stability of traffic flow provides a new train of thought.The research on the vehicle and the change model is mature,but there is less research on the following model and the change model in the Internet of vehicles.Therefore,based on existing models and lane changing models,the paper attempt to build a model which bases on multiple vehicle information and lane changing model under the networking environment of car following model.It analyses the stability of the model.Furthermore,it validates the accuracy of simulation model by comparing with the measured data.Specific research content are as follows:(1)the paper introduces domestic and foreign research status of vehicle and vehicle model,vehicle lane change model and Internet of Vehicles.Then,it analyzes previous research results of car following model and lane changing model.Next,traditional FVD and BLVD model combine with vehicle characteristics that it can be more accurate perception the information of preceding cars' and rear cars' speed position in the car networking system.Building the vehicle model based on multiple vehicle information of car following and lane changing model.It improves the stability of the traffic flow and traffic efficiency in collaborative environment.(2)This article draw curve graph of BLMAVD model through analyzing the stability of BLMAVD model.Comparing stability curve with the FVD and BLVD model to draw the conclusion that the stability region of BLMAVD model is the largest.It shows that vehicle running status will be more stable and the traffic flow will be more stable through considering the operation information of multiple vehicles in the Internet of vehicles environment.It can be found that the stability of traffic flow will increase if we pay attention to the car running state and consider more in front of the guide line of the vehicle running information through analyzing the affecting factors of BLMAVD stability.This provides the basis for the design and development of vehicle control strategy to improve the stability of traffic flow,mitigate and prevent traffic congestion phenomenon.(3)This paper proposes to improve safety coefficient of vehicle lane changing strategy in the different lane changing circumstance based on multiple vehicle lane changing demand model and changing the gap model.Last but not least,simulation verification the data collected from the Los Angeles section of highway 101 of NGSIM data.The result proves that the average speed increased by 19.9% when vehicles use strategy of the model in the case of increasing lane changing frequency.