Research On Optimization Method And Application Of Vehicle-cargo Matching In Online Freight Platfor

With the development of globalization,the development level of freight industry reflects the overall economic development level of a country or region to a certain extent,and also affects the economic development potential of that country or region.In order to solve the long-standing problems of our freight market,such as Information asymmetry,low matching efficiency and high transport costs,the Internet era has seen the emergence of an online freight platform.Network freight platform with its own advantages can enhance the overall freight industrys vehicle-cargo matching capacity and transport service capacity,and promote the entire industry to achieve cost reduction and efficiency improvement and transformation and upgrading.Therefore,based on the background of the network freight platform,this thesis studies the vehicle-freight matching optimization method and its application,aiming at putting forward an efficient and feasible vehicle-freight matching optimization method,it can be applied to the practice of vehicle-cargo matching on the network freight platform,which will help the development of the network freight platform and promote the healthy and stable development of the freight industry.First of all,this thesis carded and analyzed the domestic and foreign research results and the status quo,and based on the two-sided matching theory,vehicle-cargo matching theory,network freight platform matching theory and other relevant theories as theoretical support,comparative analysis of domestic and foreign typical network freight platform matching operation mode,for the follow-up research to prepare for the theory.Secondly,this thesis analyzes the matching intention of the two subjects,summarizes the factors that affect the two-sided matching,and then constructs the two-layer matching index system of the two subjects,and gives the processing methods of different types of index data.On this basis,aiming at the problems of vehicle-cargo matching in different situations such as the unfairness of matching,the limited rationality of psychology and the uncertainty of decision-making,this thesis presents three methods of vehicle-cargo matching optimization for network freight platforms based on Pythagoras fuzzy environment,which take into account both satisfaction and fairness,and consider the expectations of multiple forms of agents.Topsis theory,cumulative prospect theory,and Pythagoras fuzzy theory are introduced from the perspective of subjects;matching fairness,perception of psychological expectations,and information fuzziness,to define the satisfaction function,distance measure function and profit and loss value function of different types of indicators,and to determine the satisfaction matrix,profit and loss matrix and Prospect Matrix,then,the multi-objective vehicle-freight bilateral matching optimization model is constructed and solved by the linear weighted method,and the feasibility and validity are verified by the example analysis.Finally,in order to improve the management ability and efficiency of the network freight platform,this thesis puts forward some concrete suggestions from three aspects: macro-policy system,mid-level trade organization and micro-level freight body.The research of this thesis can enrich and improve the theoretical research field of vehicle cargo matching to a certain extent,provide scientific basis for solving the problem of vehicle cargo matching in different situations,provide method guidance for enhancing the vehicle cargo matching ability of the network freight platform,and provide theoretical contributions for improving the transport efficiency of the entire freight industry,which has important theoretical and practical significance.