An Internet Of Vehicle Based Cooperative Vehicle Infrastructure Algorithm And Implemention

As the number of vehicles increases on a global scale,traffic load and network connection load from vehicles will experience an astounding rise in the future.From the point of view of network demand,since most of vehicles connect the Internet through celluar network,that will inevitably results in congestion problem in celluar network.The appropraite selection of vehicular nework is a research hot spot to address the issue of guaranteeing user's connection experience.On the other hand,if we look at traffic demand,the increasing traffic demand will inevitably results in conestion problem in road network,which will significantly negatively affect the driving experience.Therefore,it is necessary to introduce Internet of Vehicle(IoV)to meet vehicles' different demand and enhance the cooperation between vehicles.To solve the problem previously suggested,this thesis mainly focuses on two research aspects.First,we designs and implements the vehicular network selection algorithm under heterogeneous vehicular network.Second,we propose a velocity recommendation algorithm based on visible light communciation,which aims to suppress the shock wave.The major contribution of this thesis lies in the following two aspects:1)To address the issue of vehicular network selection under hetergenerous network,we develop an intelligent network recommendation system with traffic big data analysis supporting.Firstly,the traffic model for network recommendation is built through big data analysis.Secondly,vehicles are recommended to access an appropriate network by employing the analytic framework which takes traffic status,user preferences,service applications and network conditions into account.Furthermore an Android application is developed,which enables individual vehicle to access network automatically based on the access recommender.Finally,extensive simulation results show that our proposal can effectively select the optimum network for vehicles,and network resource is fully utilized at the same time.2)We consider adjacent vehicles in the platoon scenario.To reduce driver's reaction time,we propose the concept of variable time headway,which varies with the relative velocity between adjacent vehicles.And combined with relative velocity,we have the control objective.Due to the existence of delay and packet drop in VLC,the system uses optimal control method to estimate current vehicle status.Then,we address the asymptotic convergence and string stability issue of our design,guaranteeing the feasibility of the algorithm.And we also analyze the strategy to meet the shock wave mitigation criteria,which demonstrates the effectiveness of the algorithm.Finally,simulation results show that our algorithms can effectively mitigate traffic shock wave while real world car-following experiment is used to calibrate the simulation.In a nutshell,this thesis designs a vehicular network selection algorithm and velocity recommendation algorithm to address the issue of network demand and traffic demand from vehicles.The vehicular network selection algorithm guarantees the Internet connecting experience of vehicles and proposed velocity recommendation algorithm to address the issue of driving experience.This thesis makes substantial contribution to the utilization of IoV to implement Cooperative Vehicle Infrastructure System.