Analyze Highway Single On-ramp Control Methods In The Presence Of Internet Of Vehicles

With the rapid growing vehicle ownership around the world,the contradiction of higher traffic demand and limited traffic capacity become sharper.At the same time,the era of large-scale railway and road construction has gone so the only way to solve supply and demand imbalance is to improve infrastructure level of service.Intelligent transportation system,which was raised in last century in Japan,America and some European countries,aims to make use of the latest technology and efficient management to meet the rising traffic demand.Being the fundamental component of Intelligent Transportation System,Internet of Vehicles is applied for solving traffic congestion and traffic safety issues.Highway on-ramp merging problems are always the popular research topic,researchers are interested in adopting different control methods to relieve on-ramp congestion and shorten travel time.The highway administrators are able to control the on-ramp vehicles more efficiently by applying Internet of Vehicles;however the research about on-ramp control methods in the new environment is not so deep.This thesis evaluates different control methods performance in the presence of Internet of Vehicles to lay foundation for the further research.Firstly,the on-ramp control system framework is constructed in the Internet of Vehicles.By analyzing the functional requirements of highway on-ramp control system under Internet of Vehicles,we design the appropriate physical framework and logical framework.This thesis takes vehicle units,roadside units and road management center as the nodes,the wireless network as the media to ensure the Vehicle to Vehicle/Vehicle to Infrastructure communication.Secondly,driver behavior characteristics are explored in the Internet of Vehicles.Appropriate driving model is the preposition of Internet of Vehicles simulation.Through fully understanding of existing traffic model,reasonable model which can represent intelligent vehicles characteristics is chosen.By choosing SOAG algorithm the parameters in this model are calibrated carefully.Furthermore,secondary development for the VISSIM simulation platform is conducted,which will be greatly helpful for the later control strategy fulfilment.Thirdly,this thesis lists different control methods such as:fixed time control,dynamic control and selects the appropriate algorithm to conduct simulation in the VISSIM.Through comparing different scenario and choosing reasonable evaluation index,the algorithm performance in the Internet of Vehicles is shown.Hence we are able to choose more reasonable control strategy in new environment.Finally,some deficiencies are drawn at the end of thesis to lay foundation for the further research.