Research On Model And Algorithm Of Highway Freight Vehicle-Cargo Matching Optimization

Road freight transportation has always been one of the main transportation modes of freight transportation.However,statistics in recent years have shown that logistics transportation costs remain high.Although there are many freight information platforms such as full cargo,cargo pull,truck gang,etc.,most of them separate the cargo from the vehicle,and choose the cargo from the perspective of the truck or the vehicle from the perspective of the cargo,fully integrated the two-way matching information platform for cars and freight is not common.Coupled with the problem of asymmetry of information between the car and the cargo,the phenomenon of unloaded vehicles and unreasonable vehicle arrangements during transportation often occurs,leading to an increase in the cost of freight transportation.Therefore,this article will focus on solving such problems,improving the efficiency of the two-way reasonable matching of vehicles and goods,so that the goods and vehicles can be reasonably matched in a suitable environment,and then effectively reduce the total cost of social logistics transportation.Due to the different factors that need to be considered when building the model for different types of goods in the transportation process,this article will choose a more common goods in the transportation process-fruit and vegetable agricultural products as the main research goods.Due to the characteristics of perishability and strong time requirements in the transportation process of fruit and vegetable agricultural products,this paper considers the perishability and timeliness of fruit and vegetable agricultural products as the core factors on the basis of considering the shortest transportation distance and analyzes and quantifies.The trust degree between the cargo owner and the vehicle owner also plays a vital role in whether the order is fulfilled.Therefore,in this paper,while defining the matching degree,the final matching degree calculation is combined with the trust degree.This paper first refers to the idea of Minkowski Distance to define the matching degree,and then combines the trust degree based on the Six Degree Of Separation Theory to establish the objective function of this paper with the highest matching degree as the goal.According to the characteristics of fruit and vegetable agricultural products,the sub-function F function of the matching function is the expense function.This function is composed of directtransportation cost,cargo damage cost,and time cost.Establish different F functions for the minimum and maximum service needs of the cargo owner,vehicle owner.In F function,factors such as direct transportation cost,cargo damage cost,time cost and cargo weight are quantified to calculate the matching degree,and the dimension is unified into the cost function,and then the final matching degree function is established,the corresponding assumptions are established and constraint conditions.Establish the mathematical model of road freight car cargo matching in this paper,Finally design the corresponding algorithm to solve the model.In this paper,the improved genetic algorithm is used to solve the model,and the optimal solution of the model is obtained.The vehicles are arranged reasonably,so that the interests of both the vehicle and the cargo are satisfied.The data in this article uses the statistics of the vehicle and cargo matching information platform for case analysis,and uses Matlab to solve to get the final matching result.