Performance Optimization Method For Vehicle To Vehicle Information Interaction In Vehicle Infrastructure Cooperative System

Vehicle Infrastructure Cooperative System(VICS)is the safe and efficient transportation system based on information processing technology,control technology,navigating and positioning technology,information interaction technology,sensor technology and so on.The realization of every application in VICS is based on the reliable information interaction of vehicle to vehicle and vehicle to surroundings.On the basis of the study and analysis about the research of vehicle infrastructure cooperative technology and Vehicle to Vehicle(V2V)information interaction,some scientific and urgent problems to be solved are put forward.The principle of performance optimization methods of V2V information interaction are analyzed.And the different application scenes of these optimization methods are proposed.Firstly,various parameters and protocols of three kinds of information interaction mode,including 3G,DSRC and WIFI,are analyzed.The different applicability of three kinds of information interaction mode in different scenes is compared.And these can provide some condition for the simulation of V2V information interaction.Secondly,collaboration mechanism of V2V information interaction based on cooperative game theory is designed and completed,covering 3G,DSRC and WIFI.Cooperative game theory is analyzed and revenue function about multiple information interaction modes of V2V is built.By applying cooperative game theory and revenue function,collaboration mechanism about multiple information interaction modes is established.According to the demands of transmitting subpackage and receiving packetization,the algorithm of subpackage and packetization is researched.Thirdly,competition mechanism of V2V information interaction based on Bayesian theory is designed and completed.According to the parameters of different scenarios,the competition mechanism can choose optimal mode from three kinds of information interaction mode.Through analyzing the Bayesian decision theory and V2V information interaction,these parameters of multi-mode competition based on Bayesian decision theory are built.And according to these parameters,the competition mechanism is designed.Finally,in order to evaluate the performance optimization methods of V2V information interaction,five kinds of evaluation index applied in V2V information interaction are defined.The model of three kinds of information interaction is established by OPNET Modeler in this paper.In order to realize the algorithm of the multi-mode collaboration and competition mechanism in simulation circumstance,the process layer of three kinds of information interaction is applied in OPNET.To validate the performance optimization method of V2V information interaction,different scenarios are designed in OPNET according to the density,moving speed and the transmission data quantity of vehicle node.The simulation results indicated the proposed optimization method can improve the performance of information interaction.When the size of data transmitted is large,collaboration mechanism can improve the reliability of V2V information interaction.When the size of data transmitted is small,competition mechanism can improve the reliability of V2V information interaction.According to the characteristics of two mechanisms,the scenarios for validating the performance of optimization methods about information interaction are designed.These scenarios include vehicle following scenario and intersection collision avoidance scenario.By repeating the experiment,the performance optimization method of V2V is verified.