Dynamic Modeling And Simulation Of Vehicle Longitudinal Control Based On Mulit-Car-Following

The paper is run on the model of vehicle longitudinal control, which is from China Postdoctoral Science Foundation NO.47, the first funded project "Running simulation and experimental study of car group in vehicle infrastructure integration environment",and,in 2011, the 863 theme of modern transportation technology project "The key technology of vehicle infrastructure integration " as relying and multi-car-following in vehicle infrastructure integration environment as the application background.The exploratory study is based on MAVI multi-car following model to calculate the distance and speed of vehicle safety as it constraints. This paper is mainly made some of the progresses as followings:Summary of research results and practical experiences of multi-car-following theory and dynamic model of vehicle longitudinal control in domestic and foreign, and analysis of its default has been got. It is the proposed research ideas which are organic with multi-car-following model and dynamic model of vehicle longitudinal control.It is analyzed that the limitations of multi-car-following in non-vehicle infrastructure integration environment and the car-following characteristics in vehicle infrastructure integration environment, comparative analysis differences and advantages which are from three basic characteristics of car-following model in two environments. It is initially constructed experimental system of vehicle longitudinal control in multi-car-following environment.It is proposed that a multi-car-following model-MAVI (Multi Ahead Vehicle Information) based multi-car-running information has been made. By using Lyapunov stability analysis method,analyze and optimization to the stability of the model are also made. The results show that multi-car-following model based multi-car-running information which is compared to base only on the neighbor front-car-following model is significantly reduced to the critical sensitivity coefficient, which increases the stability region and conducives to maintain the stability of traffic flow.MAVI multi-car-following model proposed in this paper is gone on design and development of simulation software which is used simulation of MAVI model and mainly calibrated several important parameters in the model basing on visual studio 2010 platform by using C # language. It calibrates the sensitivity coefficient a and reaction coefficientλof MAVI model by many assuming simulated scenarios and using the output data processing EXCEL. Through the Finding to the ideal combination of parameters in the process, a large number of studies are made.It is established that dynamic model of vehicle longitudinal control based on multi-car-following theory, and receives braking torque or throttle opening of vehicle,by the speed data after simulation as dynamic model of vehicle longitudinal control input, and calculation of specific control algorithms.The car-following model is basis of microscopic traffic simulation. It is established by dynamic model of vehicle longitudinal control based on multi-car-following theory and studyed multi-car-following behavior characteristics from microscopic point.The study results will consolidate the theoretical basis to prevent the vehicle rear-end accidents, achieve traffic flow simulation and estimate pass capacity.The study has some meaning and application values too.