Reseach On Matching Model Of Vehicle Cargo Considering Trading Party’s Preference

In recent years,with the continuous development of China’s integrated transport system,the highway networks are continues to expand,and the highway trunk transport capacity is also rising.However,there are still many problems such as the asymmetry of supply and demand information and the low efficiency of loading,which restricts the pace of the road freight industry to intensive and efficient development.Of course,with the development of Internet technology and modern logistics industry,enterprises and universities also have researched logistics information platform.This paper is writes at the background of development of road freight and logistics information platform,which launched a logistics information platform to match the supply and demand of goods.On the basis of summarizing the previous literature and related theories,this paper summarizes the present situation,the mode and the existing problems of the logistics information platform in our country,and elaborates the main body and its preference of the transaction side of the logistics information platform.Based on the study of the platform model and the preference analysis of the transaction side,this paper reconstructs the objectives,principles,functions and modes of matching of supply and demand.According to the requirements of the model,this paper constructs the matching model of the multi-supply and demand matching model by using the fuzzy comprehensive evaluation method,the multi-attribute decision-making theory and the bilateral matching theory and so on.The construction of matching model is the core of this paper.This paper first establishes the matching index system of two sides and the reputation evaluation system based on the preference of the source side and the vehicle source side.Secondly,the matching model of one-to-many is constructed and used An example validates its effectiveness.Finally,a many-to-many bilateral matching model is constructed for the pricing model,and an example is given and solved using Lingo to verify the validity of its matching.Finally,the article points out the shortcomings of this study,and future research direction.This study is of great significance to improve the efficiency of cargo matching and to promote the development of freight market to be more efficient.