Driving Active Service Demand Perception Model And Key Algorithm In Internet Of Vehicles

As the number of vehicle ownership continues to rise,the limited road resources and the continuous growth of vehicles constitute difficult to reconcile the contradictions.The traffic service system began to appear for the vehicle to provide services,such as the use of passenger vehicles-“Bus Intelligent Operation System” and the use of trucks on the tianxingjian service system.However,these service systems have special applications,such as G-BOS can provide traffic services for the bus,tianxingjian can provide services for the truck,but do not apply for other types of vehicles.Driving Active Service System(DASS)is to collect these vehicles' driving information,generate the driving service automatically after the information fusion.In the environment of “Internet of vehicles(IV)”,DASS could provide active,real-time and efficient driving services.Researched on the TTSS,this paper is based on the key technology research(project number: DZXX-048),which is “six major talent project of Jiangsu Province”.Sensing model and key algorithms of DASS were studied.DASS demand perception model is the most basic of DASS,but at the same time,it is also the most important part of the DASS system.And this paper is the basic theory research and key technology exploration of DASS.The paper's main work is as the following:(1)The internet of vehicles and development of the DASS system are systematically reviewed and analyzed briefly.The feasibility of the DASS system,the feasibility of the technology and the feasibility of the application promotion are analyzed.Analyzed the demand of DASS service,and vehicle driving information in the environment of car network is classified.In addition,a detailed division of DASS driving service was introduced.(2)This paper puts forward the DASS demand perception model based on the active database and the paper studies ECA(Event-Condition-Action)model,constructs the ECA rules to identify traffic congestion,and establishes a set of database management system interface.(3)As the demand of DASS in the internet of vehicles,an information fusion algorithm based on Multi-agent and traffic congestion sensing algorithm are proposed,and the algorithm is analyzed in time and spatial complexity.The DASS service matching algorithm was studied.(4)Build the DASS simulation platform based on Prescan-Matlab / Simulink software and Logitech G29 driver and hardware which drivers and hardware in the loop,and build a vehicle network environment in the software environment to verify the DASS service perception system effectiveness,real-time and activeness.Finally,the real-time dynamic path planning problem and rear end warning is taken as an example to verify the superiority of DASS system.