Research On Supply-demand Matching Of Vehicle And Goods Based On Grey Comprehensive Correlation Analysis

At present,highway transportation still plays a very important role in the mode of transportation.With the continuous improvement of highway transportation infrastructure and the maturity of "internet + APP" model,the supply and demand data of large-scale growth,the supply and demand of vehicle goods to match the rapid development of industry,has a certain role in the integration of vehicle and goods resources.At present,there are three main problems in the field of matching supply and demand of vehicle goods: high transportation cost,low full load rate of vehicle,and difficult to evaluate both sides effectively.Based on the problem of vehicle-goods supply-demand matching,this paper considering the satisfaction index of both sides when considering the problem of vehicle-goods supply-demand matching.An improved grey comprehensive correlation analysis method is proposed to realize the quantification of satisfaction degree,and on this basis,a multi-objective vehicle-goods supply-demand matching model with the highest satisfaction degree,the highest full load rate and the lowest transportation cost is further constructed to supplement the research of this kind of problem.Firstly,the grey comprehensive relational analysis is used to quantify the degree of satisfaction.Based on the theory of grey relational analysis,the model of grey comprehensive relational analysis is constructed and improved.The similarity and similarity of sequences are considered,and the positive and negative correlations between sequences are considered.The comparison with other grey relational analysis models shows that the model has good applicability,and then a bilateral satisfaction measure method based on grey comprehensive relational analysis is proposed.Secondly,a supply-demand matching model for multiple vehicles is constructed based on the satisfaction measurement results,and a Tabu search algorithm is designed to solve the model.In order to achieve the goal of the lowest cost,the highest full load rate and the highest degree of satisfaction,a multi-objective matching model of supply and demand for vehicles and goods is established.The first step of the algorithm is to search the vehicle owner or the cargo owner who satisfies the specific information index of the vehicle,and to narrow the calculation range.A tabu search algorithm is designed to solve the model,and the optimal matching scheme is obtained.Finally,according to some survey data of C highway port,the matching scheme of supply and demand of vehicle and goods is solved.The result shows that the method has obvious effect in optimizing the full load rate and satisfaction of matching,and the Tabu search algorithm can get the feasible solution and the optimal solution quickly.