Research And Application Of Vehicle Personalized Insurance Premium Rate Model Based On User Behavior Insurance

China's current motor vehicle ownership is about 260 million.Facing such a huge market demand,China's auto insurance industry is relatively backward.The auto insurance industry runs into a high turnover,but generally low profit situation.The reason behind this is : 1)it's hard to identify risks accurately;2)there is no reasonable customized premium rate making model.At present,the mainstream of Chinese insurance pricing model,mainly based on the static data,the low correlation of data,and the data authenticity and continuity is not guaranteed,so the basic premium calculated by the same,can not well reflect the individual differences of driving insurance ratemaking risks.In order to solve these problems and to provide an accurate and flexible pricing model for the insurance industry,in this thesis,user behavior insurance(UBI)models which determine auto insurance premium rate according to driving habits have been researched.The research work is as follow.1,Firstly,existing insurance ratemaking models,algorithms,and UBI auto insurance status have been research systematically.Also,current domestic and international industry status and technologies have been analyzed.2,Secondly,existing auto insurance premium rate models,including factors related to the determination of auto insurance premium,the model and method of premium determination,and problems of these methods have been researched.As a result,3,Thirdly,a new model of premium rate,which is based on the cost of driving behavior is proposed.driving behavior has been modelled and trained.Then the training results is correlate to the rate adjustment factor.4,Finally,using real data,our new premium rate model has been tested and verified.The test results show that the model can be used to evaluate drivers' driving risk,which provides a reliable basis for the insurance company to set up the individual premium rate based on UBI model.